#Behaviour Based Safety Software

[occucarehealthcare]

Behaviour Based Safety Software

Enhance workplace safety with our Behavior Based Safety Software. Identify risks, track unsafe actions, and promote a proactive safety culture through smart, data-driven solutions. OccuCare's Behaviour Based Safety Software supports this change, enabling companies to decrease workplace injury, increase employee participation, and attain regulatory excellence.

[the-vampire-fish-queen]

The UK needs some help with there own Online Safety Act (UK KOSA) that going to end up shutting down both small and big sites starting in March 2025.

It's already starting a online cycling community web forum with over 60K users shutting down because of the UK Online Safety Act (UK KOSA).

Link to more info here

"Reading https://www.ofcom.org.uk/online-safety/illegal-and-harmful-content/time-for-tech-firms-to-act-uk-online-safety-regulation-comes-into-force/ and we're done... we fall firmly into scope, and I have no way to dodge it. The act is too broad, and it doesn't matter that there's never been an instance of any of the proclaimed things that this act protects adults, children and vulnerable people from... the very broad language and the fact that I'm based in the UK means we're covered.

The act simply does not care that this site and platform is run by an individual, and that I do so philanthropically without any profit motive (typically losing money), nor that the site exists to reduce social loneliness, reduce suicide rates, help build meaningful communities that enrich life.

The act only cares that is it "linked to the UK" (by me being involved as a UK native and resident, by you being a UK based user), and that users can talk to other users... that's it, that's the scope.

I can't afford what is likely tens of thousand to go through all the legal hoops here over a prolonged period of time, the site itself barely gets a few hundred in donations each month and costs a little more to run... this is not a venture that can afford compliance costs... and if we did, what remains is a disproportionately high personal liability for me, and one that could easily be weaponised by disgruntled people who are banned for their egregious behaviour (in the years running fora I've been signed up to porn sites, stalked IRL and online, subject to death threats, had fake copyright takedown notices, an attempt to delete the domain name with ICANN... all from those whom I've moderated to protect community members)... I do not see an alternative to shuttering it.

The conclusion I have to make is that we're done... Microcosm, LFGSS, the many other communities running on this platform... the risk to me personally is too high, and so I will need to shutter them all.

What and When

So here's the statement...

On Sunday 16th March 2025 (the last day prior to the Act taking effect) I will delete the virtual servers hosting LFGSS and other communities, and effectively immediately end the approximately 300 small communities that I run, and the few large communities such as LFGSS.

It's been a good run, I've administered internet forums since 1996 having first written my own in Perl to help fans of music bands to connect with each other, and I then contributed to PHP forum software like vBulletin, Vanilla, and phpBB, before finally writing a platform in Go that made it cost efficient enough to bring interest based communities to so many others, and expand the social good that comes from people being connected to people.

Approximately 28 years and 9 months of providing almost 500 forums in total to what is likely a half a million people in that time frame... the impact that these forums have had on the lives of so many cannot be understated.

The peak of the forums has been the last 5 years, we've plateaued around 275k monthly users across the almost 300 websites on multiple instances of the platform that is Microcosm, though LFGSS as a single community probably peaked in the 2013-2018 time period when it alone was hitting numbers in excess of 50k monthly users.

The forums have delivered marriages, births, support for those who have passed (cancer being the biggest reason), people reunited with stolen bikes, travel support, work support, so much joy and happiness and memorable experiences... but it's also been directly cited by many as being the reason that they are here today, the reason they didn't commit suicide or self-harm. It's help people get through awful relationship breakups, and helped people overcome incredible challenges with their health.

It's devastating to just... turn it off... but this is what the Act forces a sole individual running so many social websites for a public good to do.

I don't know where to recommend... I know lots of people have moved small groups to places like Signal and WhatsApp, and that some people are on the fediverse, and some are in other websites and groups.

There is no central place that could take us all and preserve the very special thing we had... so it's done.

This is a really special place... the people are special... I guess the next 3 months will be a time of sharing what it meant, and of groups figuring out where they want to go next.

Love you all forever, it's been amazing to be a part of it all, I never thought I'd touch the lives of so many people by running websites, and in turn to give so much reason to my own life. In the end, the person I save most was likely myself.

Dee"

This is very bad and the compliance requirements will affect alot of websites based in the UK and Ofcom seems very out of its depth.

The whole thing is an unworkable mess and will collapse under its own weight. There also alot of privacy and legal issues with it.

This may also affect Tumblr and force the site to leave the UK.

Please spread awareness!

[blubberquark]

Language Models and AI Safety: Still Worrying

Previously, I have explained how modern "AI" research has painted itself into a corner, inventing the science fiction rogue AI scenario where a system is smarter than its guardrails, but can easily outwitted by humans.

Two recent examples have confirmed my hunch about AI safety of generative AI. In one well-circulated case, somebody generated a picture of an "ethnically ambiguous Homer Simpson", and in another, somebody created a picture of "baby, female, hispanic".

These incidents show that generative AI still filters prompts and outputs, instead of A) ensuring the correct behaviour during training/fine-tuning, B) manually generating, re-labelling, or pruning the training data, C) directly modifying the learned weights to affect outputs.

In general, it is not surprising that big corporations like Google and Microsoft and non-profits like OpenAI are prioritising racist language or racial composition of characters in generated images over abuse of LLMs or generative art for nefarious purposes, content farms, spam, captcha solving, or impersonation. Somebody with enough criminal energy to use ChatGPT to automatically impersonate your grandma based on your message history after he hacked the phones of tens of thousands of grandmas will be blamed for his acts. Somebody who unintentionally generates a racist picture based on an ambiguous prompt will blame the developers of the software if he's offended. Scammers could have enough money and incentives to run the models on their own machine anyway, where corporations have little recourse.

There is precedent for this. Word2vec, published in 2013, was called a "sexist algorithm" in attention-grabbing headlines, even though the bodies of such articles usually conceded that the word2vec embedding just reproduced patterns inherent in the training data: Obviously word2vec does not have any built-in gender biases, it just departs from the dictionary definitions of words like "doctor" and "nurse" and learns gendered connotations because in the training corpus doctors are more often men, and nurses are more often women. Now even that last explanation is oversimplified. The difference between "man" and "woman" is not quite the same as the difference between "male" and "female", or between "doctor" and "nurse". In the English language, "man" can mean "male person" or "human person", and "nurse" can mean "feeding a baby milk from your breast" or a kind of skilled health care worker who works under the direction and supervision of a licensed physician. Arguably, the word2vec algorithm picked up on properties of the word "nurse" that are part of the meaning of the word (at least one meaning, according tot he dictionary), not properties that are contingent on our sexist world.

I don't want to come down against "political correctness" here. I think it's good if ChatGPT doesn't tell a girl that girls can't be doctors. You have to understand that not accidentally saying something sexist or racist is a big deal, or at least Google, Facebook, Microsoft, and OpenAI all think so. OpenAI are responding to a huge incentive when they add snippets like "ethnically ambiguous" to DALL-E 3 prompts.

If this is so important, why are they re-writing prompts, then? Why are they not doing A, B, or C? Back in the days of word2vec, there was a simple but effective solution to automatically identify gendered components in the learned embedding, and zero out the difference. It's so simple you'll probably kick yourself reading it because you could have published that paper yourself without understanding how word2vec works.

I can only conclude from the behaviour of systems like DALL-E 3 that they are either using simple prompt re-writing (or a more sophisticated approach that behaves just as prompt rewriting would, and performs as badly) because prompt re-writing is the best thing they can come up with. Transformers are complex, and inscrutable. You can't just reach in there, isolate a concept like "human person", and rebalance the composition.

The bitter lesson tells us that big amorphous approaches to AI perform better and scale better than manually written expert systems, ontologies, or description logics. More unsupervised data beats less but carefully labelled data. Even when the developers of these systems have a big incentive not to reproduce a certain pattern from the data, they can't fix such a problem at the root. Their solution is instead to use a simple natural language processing system, a dumb system they can understand, and wrap it around the smart but inscrutable transformer-based language model and image generator.

What does that mean for "sleeper agent AI"? You can't really trust a model that somebody else has trained, but can you even trust a model you have trained, if you haven't carefully reviewed all the input data? Even OpenAI can't trust their own models.

[aimarketresearch]

Public Safety Solution Market Size, Share, Trends, Opportunities, Key Drivers and Growth Prospectus

Executive Summary Public Safety Solution Market :

Global public safety solution market size was valued at USD 22.05 billion in 2023 and is projected to reach USD 47.95 billion by 2031, with a CAGR of 7.54% during the forecast period of 2024 to 2031. 

The market insights and market analysis about  industry, made available in this Public Safety Solution Market research report are rooted upon SWOT analysis on which businesses can depend confidently. This market study underlines the moves of key market players like product launches, joint ventures, developments, mergers and acquisitions which is affecting the market and  Industry as a whole and also affecting the sales, import, export, revenue and CAGR values. The consistent and extensive market information of this report will definitely help grow business and improve return on investment (ROI). This report makes available an actionable market insight to the clients with which they can create sustainable and profitable business strategies.

The Public Safety Solution Market report makes your business well acquainted with insightful knowledge of the global, regional and local market statistics. By keeping end users at the centre point, a team of researchers, forecasters, analysts and industry experts work exhaustively to formulate this market research report. To achieve maximum return on investment (ROI), it’s very crucial to figure out brand awareness, market landscape, possible future issues, industry trends and customer behaviour and Public Safety Solution Market report does the same. This Public Safety Solution Market report conveys the company profiles, product specifications, capacity, production value, and market shares of each company for the forecasted period.

Discover the latest trends, growth opportunities, and strategic insights in our comprehensive Public Safety Solution Market report. Download Full Report: https://www.databridgemarketresearch.com/reports/global-public-safety-solution-market

Public Safety Solution Market Overview

**Segments**

- Based on component, the Global Public Safety Solution Market can be segmented into solutions and services. The solutions segment is further classified into critical communication network, biometric security and authentication system, surveillance system, emergency and disaster management, scanning and screening system, C2/C4ISR system, and others. The services segment includes consulting, integration, maintenance and support. - By application, the market is divided into law enforcement, emergency services, disaster management, critical infrastructure security, and others. - On the basis of solution type, the market can be categorized into hardware and software solutions. The hardware solutions include devices such as cameras, sensors, emergency lights, and others. The software solutions consist of analytical tools, management solutions, and communication platforms. - Considering deployment mode, the market is segmented into on-premises and cloud-based solutions. - Geographically, the Global Public Safety Solution Market is analyzed across North America, Europe, Asia-Pacific, South America, and Middle East & Africa.

**Market Players**

- Some of the key players in the Global Public Safety Solution Market are Cisco Systems, Inc., NEC Corporation, Motorola Solutions, Inc., Atos SE, Honeywell International Inc., IBM Corporation, Hexagon AB, ESRI, General Dynamics Corporation, and Thales Group among others. These companies are focusing on strategic partnerships, product innovations, and acquisitions to strengthen their market presence in the public safety solution domain.

The Global Public Safety Solution Market is witnessing significant growth due to the increasing focus on public safety and security measures by governments across the world. The rise in criminal activities, natural disasters, and terrorist threats have propelled the demand for advanced public safety solutions. The adoption of technologies such as artificial intelligence, Internet of Things (IoT), and cloud computing is also driving the market growth as these technologies enhance the efficiency and effectiveness of public safety operations.

The law enforcement application segment is dominating the market as law enforcement agencies are increasingly deploying public safety solutions to combat crime and maintain law and order. The emergence of smart cities and the integration of smart public safety solutions are further fueling market growth. Additionally, the growing investments in critical infrastructure security and disaster management solutions are contributing to the expansion of the market.

In conclusion, the Global Public Safety Solution Market is poised for substantial growth in the coming years as governments and organizations prioritize public safety measures. The market players are focusing on technological advancements and strategic collaborations to gain a competitive edge in the market and cater to the increasing demand for robust public safety solutions.

The Global Public Safety Solution Market is experiencing a rapid evolution driven by the escalating need for enhanced safety and security measures worldwide. With the rising instances of criminal activities, natural calamities, and terrorist threats, governments are increasingly investing in advanced public safety solutions to ensure the protection and well-being of their citizens. This heightened focus on security is propelling the demand for innovative technologies like artificial intelligence, IoT, and cloud computing within the public safety sector, as these solutions offer improved operational efficiency and effectiveness.

One of the key drivers shaping the market landscape is the dominant presence of the law enforcement segment, which is leveraging public safety solutions to combat criminal activities and uphold law enforcement standards. The integration of smart city initiatives and the implementation of intelligent public safety solutions are further amplifying market expansion. Moreover, the surge in investments directed towards critical infrastructure security and disaster management solutions is playing a pivotal role in driving market growth and fostering resilience against various threats and vulnerabilities.

Market players such as Cisco Systems, Inc., NEC Corporation, and Motorola Solutions, Inc., among others, are at the forefront of driving innovation and strategic partnerships to fortify their market positions in the public safety solution domain. By focusing on technological advancements and collaboration initiatives, these companies are poised to meet the escalating demand for robust security solutions and address the evolving challenges within the global public safety landscape.

Looking ahead, the Global Public Safety Solution Market is poised for significant growth as governments, and organizations continue to prioritize safety and security imperatives. As market dynamics evolve, the convergence of cutting-edge technologies and strategic alliances will play a critical role in shaping the future trajectory of the public safety sector. By staying attuned to market trends and enhancing solution capabilities, market players can capitalize on emerging opportunities and cement their foothold in this rapidly evolving ecosystem, thus contributing to a safer and more secure world for all.The Global Public Safety Solution Market is currently experiencing a transformation driven by the increasing emphasis on safety and security measures worldwide. With the surge in criminal activities, natural disasters, and terrorist threats, there is a growing demand for advanced public safety solutions to ensure the protection of communities. Governments are investing in innovative technologies such as artificial intelligence, IoT, and cloud computing to enhance the operational efficiency and effectiveness of public safety operations.

The dominance of the law enforcement segment in the market indicates a significant focus on combating crime and maintaining law and order. The integration of smart city initiatives and intelligent public safety solutions is further boosting market growth. Investments in critical infrastructure security and disaster management solutions are also contributing to the expansion of the market, fostering resilience against various threats.

Key market players like Cisco Systems, Inc., NEC Corporation, and Motorola Solutions, Inc. are leading the way in driving innovation and forming strategic partnerships to reinforce their positions in the public safety solution domain. By prioritizing technological advancements and collaboration initiatives, these companies are well-positioned to meet the increasing demand for secure solutions and address the evolving challenges in the public safety landscape.

Looking ahead, the Global Public Safety Solution Market is forecasted to witness substantial growth as safety and security remain paramount concerns for governments and organizations globally. The convergence of cutting-edge technologies and strategic alliances will play a crucial role in shaping the future of the public safety sector. By adapting to market trends and enhancing solution capabilities, market players can capitalize on emerging opportunities and solidify their presence in this dynamic landscape, contributing to a safer and more secure environment for all.

The Public Safety Solution Market is highly fragmented, featuring intense competition among both global and regional players striving for market share. To explore how global trends are shaping the future of the top 10 companies in the keyword market.

Learn More Now: https://www.databridgemarketresearch.com/reports/global-public-safety-solution-market/companies

DBMR Nucleus: Powering Insights, Strategy & Growth

DBMR Nucleus is a dynamic, AI-powered business intelligence platform designed to revolutionize the way organizations access and interpret market data. Developed by Data Bridge Market Research, Nucleus integrates cutting-edge analytics with intuitive dashboards to deliver real-time insights across industries. From tracking market trends and competitive landscapes to uncovering growth opportunities, the platform enables strategic decision-making backed by data-driven evidence. Whether you're a startup or an enterprise, DBMR Nucleus equips you with the tools to stay ahead of the curve and fuel long-term success.

Regional Analysis/Insights

The Public Safety Solution Market is analyzed and market size insights and trends are provided by country, component, products, end use and application as referenced above.

The countries covered in the Public Safety Solution Market reportare U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.

North America dominatesthe Public Safety Solution Market because of the region's high prevalence Public Safety Solution Market

Asia-Pacific is expectedto witness significant growth. Due to the focus of various established market players to expand their presence and the rising number of surgeries in this particular region.

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Tag:- Public Safety Solution, Public Safety Solution Size, Public Safety Solution Share, Public Safety Solution Growth

[blackboxgpstechnology]

Black Box's GPS-Based Waste Management Fleet Software in India

Waste management is an essential requirement in the present-day urbanising India. As the cities have grown in population density and the number of services offered by the municipality, the task of managing the garbage collection fleets has become more complicated than ever before. Local governing systems and waste collection agents encounter many operational challenges--in the form of inefficiencies in routing, loss of fuel, and the issue of maintenance and regulatory compliance. That is when Waste Management Fleet Management Systems steps in.

Businesses such as BlackBox GPS, which provides Waste Management Fleet Software solutions as the leading firm in India, are assisting towns in making their waste collection process efficient by using smart technology. Such solutions have been used to handle complete fleets in real-time, safety, minimisation of costs and simplification of overall operations. 

Key Benefits of Waste Management Fleet Systems

Advanced Waste Management Fleet Tracking Systems deliver elegant solutions to universal problems in waste collecting- maximising efficiency, cutting expenses and increasing transparency in the daily operations.

Optimisation of Routes: Intelligent routing decreases fuel consumption, heightens pickups and minimises wasted bins.

Vehicle Maintenance: Breakdowns are avoided, and vehicle lifetimes are prolonged through Predictive alerts.

Fuel Monitoring: Monitors to improve fuel use and minimise wastage, block fuel theft.

Transparency & Accountability: Tracks bin picks and adherence to the route, and driver behaviour.

Regulatory Compliance: Timely inspection, checking emissions, and observing safety rules.

Data Management: Collects all information in one place, helping to make better decisions and operational plans. 

Challenges in Waste Management Fleet Operations

In the absence of digital solutions, there is a lack of waste fleet operations as follows:

Challenge in monitoring several vehicles

Real-time visibility deficiency

Inadequate route management

Reckless driving and late services

The frequent breakdowns and consumption of fuel

Non-compliance Failure

Poor reporting of data and decision-making

The problems lead to cost increase, operational delays and customer dissatisfaction.

Comprehensive Solution by BlackBox GPS

BlackBox GPS has the most reliable waste management tracking platform in India. It integrates real-time GPS tracking and monitoring, fuel analytics, route planning, predictive maintenance with driver monitoring. It does not require separate anti-theft equipment or programs, the built-in BlackBox system can provide both safety and schedule and analytics services.

Key benefits include:

Live tracking of trucks with zone-based alerts

Notifications when vehicles overstay at collection points

Driver behaviour monitoring to prevent rash driving

Fuel usage tracking to reduce costs and detect theft

Predictive maintenance to avoid service delays

Data-driven dashboards for efficient fleet planning

BlackBox GPS - Transforming Waste Management in India with Smart Fleet Tracking Solutions

Established in 2008, BlackBox GPS Technology Pvt Ltd is a leading provider of GPS-based fleet management solutions for waste management in India. We are one of the first companies to receive AIS 140 IRNSS certification and partner with major telecom providers like Google, Airtel, BSNL, and Jio to ensure seamless connectivity. Our company’s real-time tracking and data-driven insights help optimise routes, cut fuel costs, reduce delays, and streamline waste collection for municipalities and private operators.

Certified with AIS 140, ARAI, ISO 9001, 14001, 27001 & IATF 16949.

Trusted by 10,000+ clients across India.

Partnered with ISRO, DHBVN, Haryana & Punjab Police.

Early adopter of GPS fleet tech for Smart City & Swachh Bharat.

Provides nationwide support and personalised service.

In-house hardware and software development for full control.

[semcoinfratechworld]

Advanced SOC Diagnostics for Lithium-ion Battery Health

Accurately determining the State of Charge (SOC) is vital for effective battery health management in today’s energy-driven world. Just as you rely on a fuel gauge in your car, SOC reflects how much usable energy remains in a lithium-ion battery, preventing sudden failures and optimizing performance.

Modern Battery Management Systems (BMS) use layered diagnostic algorithms to ensure SOC accuracy, compensating for variables that influence measurement reliability.

Advanced Methods for SOC Estimation

1. Ampere-Hour Integration (Coulomb Counting)

This method continuously tracks the current entering and exiting the battery. While fundamental to SOC calculation, it’s prone to drift errors due to sensor inaccuracies and battery self-discharge. Thus, it often requires correction from other techniques.

2. Charge & Discharge Voltage Correction

Lithium-ion batteries exhibit predictable voltage behaviours during charge/discharge cycles. By comparing these voltage/current patterns against predefined SOC curve libraries, systems refine their SOC accuracy and adjust readings based on real-world performance.

 3. Open Circuit Voltage (OCV) Correction

OCV represents the battery voltage at rest and strongly correlates with SOC. Using a battery-specific OCV-SOC curve, systems can recalibrate SOC values periodically during rest intervals, ensuring greater accuracy across usage conditions.

4. Full/Empty Position Reset

When the battery reaches a full or empty state, the SOC is calibrated to 100% or 0%, respectively. These reset points are critical for avoiding long-term drift in battery state of charge monitoring and help align individual cell voltages within a battery cluster.

Real-World Scenario: SOC Step-Down Anomaly

At a project site, engineers noticed a recurring SOC drop, even while the battery was idle. Though OCV calibration was enabled, a step-down pattern appeared during rest periods. Investigation revealed the root cause: the default OCV table from the manufacturer had not been correctly configured in the BMS.

Surprisingly, disabling the OCV calibration didn’t solve the issue. Digging deeper, engineers discovered a “SOC loss power” reading of 2086W, signifying phantom energy loss. The cause? An erroneous power compensation setting within the system’s persistent memory.

The Fix: EEPROM Reset & Cache Cleaning

To correct the issue:

The team executed the “AAA4” command to reset the EEPROM, which holds configuration data and compensation values.

A full system refresh using “read all” restored accurate SOC levels.

An automatic cache cleaning function was added to purge stale or incorrect data from volatile memory.

Post-reset, SOC readings stabilized. No further drop was observed during a 2-hour rest, validating the correction.

Best Practices for SOC Troubleshooting

Always verify SOC-OCV data from the battery manufacturer.

Monitor and correct hidden settings like SOC loss power compensation.

Follow a structured battery diagnostics workflow.

Integrate memory cache maintenance into your software routine.

Conclusion

Maintaining optimal lithium-ion battery health hinges on accurate SOC diagnostics, robust algorithms, and meticulous system calibration. As this case study demonstrates, even minor misconfigurations can cause persistent problems. Through proactive diagnostics, firmware resets, and routine memory maintenance, engineers can ensure consistent SOC performance, safety, and battery lifespan optimization.

[erpone]

ERP for Manufacturing: Enabling Just-in-Time Production

In today’s hyper-competitive and globalized manufacturing landscape, efficiency is everything. Businesses must respond to fluctuating demand, supply chain uncertainties, and rising costs, all while meeting customer expectations for quality and speed. That’s where Just-in-Time (JIT) production and Enterprise Resource Planning (ERP) come together.

ERP systems are no longer just back-office tools. They are now mission-critical platforms that drive operational excellence, real-time data visibility, and agility, which are all foundational to successful JIT manufacturing.

In this guide, we explore how ERP empowers manufacturing companies to achieve lean production, minimize waste, reduce lead times, and improve profitability.

Understanding Just-in-Time Production — More Than a Buzzword

Just-in-Time (JIT) manufacturing isn’t a trend — it’s a disciplined approach to producing what’s needed, when it’s needed, and in the exact quantity required.

Born in post-war Japan and perfected by Toyota, JIT production aims to eliminate waste, reduce inventory holding costs, and improve product quality by syncing production with real-time demand.

Core principles of JIT include:

Inventory minimisation

Demand-driven scheduling

Waste reduction (Lean Manufacturing)

Continuous improvement (Kaizen)

But to execute JIT effectively, manufacturers need total visibility, data-driven foresight, and operational agility, which is where ERP comes in.

The Role of ERP in Modern Manufacturing

Enterprise Resource Planning (ERP) software is the digital backbone of modern manufacturing enterprises. It consolidates core business processes — finance, procurement, production, inventory, human resources, and supply chain into one unified platform.

Here’s how ERP platforms empower manufacturers:

Real-time production tracking

Demand forecasting & materials planning

Supplier coordination & logistics

Inventory and warehouse management

Workforce scheduling and capacity planning

With integrated modules and advanced analytics, ERP makes it possible to align production with actual demand fueling JIT execution with precision.

Aligning ERP with JIT — A Perfect Partnership

JIT demands agility. ERP delivers it. Together, they form a dynamic digital alliance.

1.Demand Forecasting & Sales Order Integration

JIT starts with accurate demand forecasting. ERP systems integrate sales data with historical trends, market indicators, and customer behaviour patterns to:

Predict order volumes

Avoid overproduction

Trigger just-in-time procurement

With real-time sales and demand data driving production schedules, ERP eliminates guesswork and overstock.

2.Inventory Optimisation

Traditional systems often rely on buffer stock. ERP systems enable real-time inventory visibility, automatic reorder points, and safety stock thresholds. This ensures you:

Minimise excess inventory

Avoid stockouts

Cut holding costs

3.Procurement Synchronisation

ERP automates supplier communication and ensures that raw materials are ordered only when needed. Procurement modules help with:

Vendor-managed inventory (VMI)

Lead time optimization

Supplier performance tracking

This tight control supports a leaner, more resilient supply chain.

4.Shop Floor Control & Production Scheduling

ERP’s manufacturing execution module (MES) offers real-time shop floor visibility:

Monitor work-in-progress (WIP)

Allocate machine capacity dynamically

Adjust shift patterns instantly

With digital twins and IoT integration, ERP lets manufacturers simulate production changes before executing them.

Key ERP Features that Empower Just-in-Time Production

To truly support JIT operations, a manufacturing ERP solution must offer the following capabilities:

1.Advanced Planning & Scheduling (APS)

Dynamically align resources and timelines based on actual orders.

2.Material Requirements Planning (MRP)

Trigger material orders only when needed based on the bill of materials (BOM).

3.Real-Time Data Capture

From barcode scanning to IoT sensors, get instant updates on inventory, machinery, and operator performance.

4.Supplier Portals & EDI Integration

Collaborate in real time with vendors for smooth material delivery.

5.Predictive Analytics & AI Forecasting

Move from reactive production to anticipatory, AI-driven operations.

6.Compliance & Quality Management

Ensure every product meets industry and customer standards without delays or waste.

Real-World Benefits of ERP-Enabled JIT Production

Increased Operational Efficiency

By eliminating bottlenecks and redundancies, manufacturers experience faster cycle times and improved throughput.

Lower Operating Costs

Reduce excess inventory, avoid overstaffing, and eliminate material wastage.

Improved Supply Chain Coordination

ERP aligns internal processes with external vendors and logistics partners, ensuring seamless operations.

Enhanced Risk Management

By enabling real-time visibility and agility, ERP helps mitigate supply disruptions and demand fluctuations.

Sustainability & ESG Alignment

JIT and ERP together reduce overproduction, energy consumption, and carbon footprints.

Challenges and How to Overcome Them

Change Management Resistance

Solution: Invest in employee training and choose an ERP with an intuitive UI.

Data Accuracy

Solution: Ensure clean data migration and implement regular audits.

Vendor Lock-in

Solution: Opt for modular ERP platforms with open APIs and third-party integration.

The Future of ERP and JIT in Smart Manufacturing

As Industry 4.0 matures, the future of manufacturing ERP is:

AI-powered and machine learning-driven

Edge-enabled and IoT-integrated

Voice-command and chatbot supported

Blockchain-backed for supply chain trust

JIT will no longer be a strategy; it will be the default. ERP platforms will serve as autonomous, intelligent control towers driving hyper-lean, hyper-smart factories.

Final Thoughts: Lean, Agile, Future-Ready

In a world where seconds matter and customer expectations evolve overnight, Just-in-Time production isn’t optional — it’s essential. And the only way to execute it with finesse is through a robust, modern ERP solution.

With the right technology foundation, your manufacturing business can move faster, waste less, and deliver more exactly when it’s needed.

Because in 2025 and beyond, the future belongs to those who can manufacture smarter, leaner, and with surgical precision.

[govindhtech]

Bolttech Improves Customer Experience with AWS Generative AI

Bolttech

Bolttech powers hyper-personalized customer services with AWS generative AI.

Bolttech, a Singapore-based insurtech company, said today that it is integrating Amazon Web Services (AWS) Gen AI technology into its internal and customer operations. The project aims to cut costs, boost efficiency, and personalise client experiences.

Bolttech GenAI Factory, a Gen AI platform using Amazon Bedrock, serves millions of users in 37 countries on four continents. Bolttech's Amazon Connect-powered omni-channel customer experience solution will benefit from this platform. Bolttech's internal teams will use the GenAI Factory to develop and deploy Gen AI apps in addition to customer interactions.

As a first GenAI Factory application, Bolttech's chatbots have advanced speech-to-speech capabilities. This connection is meant to promote natural multilingual customer conversations. This is tested in Korean first. The service provides tailored, real-time insurance policy replies in local languages. It can answer simple to complex enquiries with practically rapid responses. Human agents can focus on higher-value interactions by automating monotonous tasks like claims processing with the software. This should improve operational efficiency and Bolttech's international customer service.

“At Bolttech, it remains steadfast in the vision to connect people with more ways to protect the things they value,” stated Philip Weiner, Asia CEO, concerning the cooperation. The right data and AI infrastructure are needed to achieve this ambition, he said. Weiner claims that AWS's cloud computing and Gen AI services, such as Amazon Bedrock, provide the framework for accessing a variety of model options, excellent price-performance ratios, and strong enterprise trust and safety features that Bolttech needs.

Weiner stressed that having many AI models, like Amazon Nova, encourages speedy innovation to improve consumer experiences. Agentic AI can deliver near-human AI interactions, real-time policy explanations, and quick claims processing. His conclusion was that this relationship allows Bolttech to provide its partners and clients more options and cutting-edge security solutions.

The Bolttech GenAI Factory drives enterprise-wide innovation beyond call centre augmentation and claims settlement. It lets internal teams build and deploy Gen AI apps. These apps encompass product design, customer assistance, underwriting, and claims processing along the insurance value chain.

Bolttech will use AWS's infrastructure to improve its client product offerings' prediction, prevention, and recovery with AI.

AI is used to improve risk assessment and deliver personalised insurance products like real-time vehicle insurance price changes based on driving behaviour prediction.

AI-driven early warning systems for cyberattacks, natural disasters, and other threats are the core goal of prevention. Policyholders can prevent losses by adopting precautions.

Recovery entails using AI-powered chatbots and virtual assistants to accelerate up claims processing and help policyholders immediately after an occurrence.

These changes should lower loss ratios over time and provide speedy, complete recovery and remediation after inevitable loss events.

According to Priscilla Chong, Country Manager, AWS Singapore, the Southeast Asian insurance business is using generative AI and new cloud technologies to make asset protection simpler, more accessible, and cheaper. She noted Bolttech, which uses generative AI to improve client experiences, operational efficiency, and global insurance service innovation. Chong said AWS is pleased to cooperate with Bolttech and that AWS's model-neutral, choice-based philosophy gives AI-first clients AI-powered ease.

Bolttech also uses AWS to accelerate time to market and simplify software development. According to sources, Amazon Q Developer experimental use cases have benefits. Bolttech saved over 50% of development time by updating code documentation files. Amazon Q Developers learnt codebases faster.

It quickly analyses large file sets and returns low-level details and high-level intents, speeding learning. Amazon Q Developer works well with Bolttech's main programming languages, Python and JavaScript, making it suitable for data scientists and backend and frontend developers. This avoids key distractions and lets Bolttech developers code and multitask.

As noted in previous updates, Bolttech's extensive usage of AWS Gen AI capabilities enables its international expansion and strategic relationships. Bolttech prioritises AI-driven customisation, efficiency, and product innovation to improve its platform and protective product delivery.

[phdwritinghelpfornursingstu]

How Organizations Can Respond, Adapt, and Appeal to New Consumer Trends and Needs to Improve Organizational Performance?

In today’s rapidly evolving business environment, understanding and responding to consumer trends is essential for survival. The COVID-19 pandemic has accelerated shifts in consumer behavior, compelling organizations to adapt quickly. Consumers now prioritize values such as sustainability, transparency, and personalized experiences, creating new expectations that businesses must meet to remain competitive.

As technology reshapes how consumers interact with brands, organizations face challenges navigating this complex landscape. The rise of e-commerce and heightened awareness of social issues have transformed preferences. This blog examines strategies organizations can adopt to enhance organizational performance by responding to these emerging trends. We will explore leveraging data analytics, adopting agile methodologies, fostering innovation, and enhancing consumer engagement. By addressing these areas, businesses can adapt to market dynamics and secure a stronger foothold.

Consumer preferences are constantly evolving due to technological advancements, social movements, and economic changes. Recent trends like sustainability and personalization have significantly impacted behaviour.

During the pandemic, many consumers shifted to online shopping for safety and convenience, resulting in a surge in e-commerce sales. Brands that effectively addressed these shifts, such as Target, saw substantial growth by enhancing their online shopping experience and offering same-day delivery services (Reuters, 2024).

Strategies for Response and Adaptation

Leverage Data Analytics — Investing in data analytics is crucial for understanding evolving consumer trends. By analysing customer data, businesses can identify patterns and preferences (Basu et al., 2023). For example, Amazon uses sophisticated algorithms to recommend products based on shopping behaviour, enhancing the shopping experience and driving sales.

Spotify also excels in this area, using data analytics to create personalized playlists (Kiberg and Spilker, 2023). Their “Discover Weekly” feature introduces users to new music tailored to their tastes, fostering customer loyalty and engagement.

Agile Methodologies — Flexibility is key in adapting to changing consumer needs. Organizations can adopt agile methodologies that emphasize iterative processes and continuous feedback (Dong et al., 2024). Zara, the global fashion retailer, is renowned for its quick response to fashion trends. By gathering customer feedback to inform design and production, Zara keeps its offerings fresh and relevant (Baena, 2024).

Airbnb is another company that successfully embraced agility. During the pandemic, they shifted their focus from travel to promoting local experiences, allowing users to book unique activities in their area (Hall et al., 2022). This pivot addressed changing consumer needs and helped the company recover during challenging times.

Innovative Product Development — Organizations should prioritize innovative product development that meets emerging consumer needs. Tesla has tapped into the demand for eco-friendly vehicles by creating electric cars that combine sustainability with cutting-edge technology (Han, 2021). Their commitment to innovation extends to software updates, enhancing features and performance long after purchase. Unilever exemplifies this approach through its “Sustainable Living” brands, like Dove and Seventh Generation. By focusing on environmentally friendly and socially responsible products, Unilever meets the demand for sustainability while driving growth.

Enhancing Consumer Engagement

Personalization — Today’s consumers expect tailored experiences. Personalization involves curating offerings based on preferences and behaviors (Chandra et al., 2022). Netflix is a prime example, using viewer data to recommend shows and movies tailored to individual tastes. This personalized experience significantly enhances user satisfaction and retention.

Sephora has also excelled in personalization by offering customized product recommendations and virtual try-ons through its app. This empowers customers to make informed choices, leading to higher conversion rates.

Multi-Channel Marketing — Maintaining a consistent presence across multiple channels is essential. Organizations should engage customers through social media, email, and in-app notifications, ensuring that messaging aligns across platforms (Chandra et al., 2022). Coca-Cola effectively uses multi-channel marketing by promoting the same message across TV, social media, and digital ads, reinforcing brand awareness and consumer connection. Nike engages customers through its mobile app, social media, and email newsletters. By providing consistent messaging and exclusive offers, Nike enhances customer loyalty and drives engagement.

Community Building — Fostering a sense of community can lead to stronger customer loyalty. Brands like Lululemon create online forums and host community events that encourage customer interaction. By cultivating a loyal community, organizations can enhance customer retention and create advocates for their brand (Bi, 2019). Starbucks has effectively cultivated a strong community centered around its brand. Through its loyalty program and the My Starbucks Idea platform, customers can share feedback and suggestions, making them feel valued and connected to the brand.

Organizational Culture and Mindset — Creating a customer-centric culture is vital for organizational performance. Employees should be encouraged to understand and respond to customer needs actively (Assen, 2020). Training programs focusing on empathy and customer service empower staff to make decisions that enhance customer experiences. Additionally, fostering an innovative mindset encourages employees to think creatively and embrace change. Google promotes innovation through initiatives like “20% time,” allowing employees to spend part of their workweek on projects they’re passionate about. This culture of innovation has led to the development of successful products like Gmail and Google News.

In today’s dynamic market, organizations must remain vigilant and adaptable to succeed. By leveraging data analytics, adopting agile methodologies, and prioritizing innovative product development, businesses can effectively respond to new consumer trends and needs. Furthermore, enhancing consumer engagement through personalization, multi-channel marketing, and community building will foster loyalty and drive organizational performance. As we look ahead, organizations that remain customer-centric and embrace change will not only thrive but also pave the way for sustainable success in the evolving business landscape. How is your organization adapting to meet the demands of today’s consumers?

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[tagbintech]

AI Companies in Gurgaon 2025: Innovation Hub of India's Tech Future

In 2025, AI companies in Gurgaon are setting a new benchmark for technological innovation in India. From smart governance platforms to AI-powered automation tools, Gurgaon—now a key part of the Delhi NCR tech corridor—has evolved into a thriving AI ecosystem.

This article explores the top AI firms in Gurgaon in 2025, their impact on industries, and why Gurgaon is becoming India’s Silicon Valley of Artificial Intelligence. If you're an entrepreneur, investor, job seeker, or tech enthusiast, this guide is crafted for you—with the latest data, engaging style, and Google News Top Stories–friendly structure.

Why Gurgaon is the AI Capital of Northern India in 2025

Gurgaon (Gurugram) has matured into a prime destination for AI innovation due to:

Proximity to Delhi and policy think tanks

Presence of multinational tech companies and startups

Robust infrastructure and top-tier talent from IITs & IIMs

Government-backed AI initiatives and smart city projects

Rapid digital transformation across sectors like governance, fintech, logistics, and health

With strong investor confidence and a growing digital economy, AI companies in Gurgaon are not just growing—they’re leading national transformation.

Top AI Companies in Gurgaon 2025

1. Tagbin

Focus: Governance AI, Holobox, Data Intelligence

Why It’s Leading: Tagbin has revolutionized the public sector by integrating AI with governance. Known for its AI-powered Holobox and real-time data platforms, Tagbin is driving government engagement and transparency like never before. It’s also a key contributor to India’s Digital Governance Mission.

Notable AI Innovations:

Virtual Holobox AI Assistants

AI-Powered Governance Dashboards

Behavioural Analytics for Civic Engagement

2. Staqu Technologies

Focus: Video Analytics, Law Enforcement AI

Staqu is using AI to power safety and surveillance. Their Jarvis platform is used by police forces across India for facial recognition and real-time crime analytics.

Key Strengths:

Real-time AI video monitoring

Predictive policing tools

Government security AI

3. Zyfra India

Focus: AI in Industrial IoT & Manufacturing

Originally from Europe, Zyfra’s Indian operations in Gurgaon deliver AI tools for predictive maintenance and smart manufacturing. They work with large manufacturing units to improve operational efficiency through AI.

AI Products:

AI for Machine Diagnostics

Smart Factory Automation

IoT + AI Hybrid Platforms

4. Toch.ai

Focus: AI for Media Automation

Toch.ai has built tools that automate content creation for video platforms, sports broadcasters, and OTT channels. Their AI identifies highlights in real time and adds branding layers, changing how India consumes digital content.

AI Features:

Video highlight detection

Sports broadcast automation

AI-powered media tagging

5. Kognitos India (Gurgaon Office)

Focus: Conversational AI for Business Workflows

Kognitos allows business users to automate tasks using natural language commands. Their AI system converts plain English into backend code workflows—a huge leap for business process automation in enterprises.

Use Cases:

No-code business automation

AI for HR and procurement

Integrations with enterprise software

Key AI Trends Driving Gurgaon’s Tech Scene in 2025

1. AI in Governance

With companies like Tagbin at the helm, Gurgaon is shaping India's smart governance architecture using real-time data and AI-driven public services.

2. Ethical & Explainable AI

Regulators and enterprises in Gurgaon are prioritizing AI transparency, ensuring algorithms are fair, accountable, and human-readable.

3. AI Talent Growth

Gurgaon’s tech ecosystem is supported by top-tier AI talent from IIT Delhi, IIIT, and global returnees, making it a hotspot for hiring.

4. AI R&D & Incubators

Haryana’s government is supporting AI incubation centers, funding early-stage startups, and fostering public-private partnerships to accelerate innovation.

Why Gurgaon-Based AI Companies Matter for India’s Future

AI companies in Gurgaon aren’t just chasing profits—they’re solving real-world problems:

Improving public safety through AI video surveillance

Making cities smarter and governance more efficient

Reducing manufacturing waste via predictive AI

Empowering small businesses with automation

Enhancing content consumption with real-time editing

By 2025, these firms are expected to contribute heavily to India’s $500 billion digital economy goal, making Gurgaon a crucial AI engine.

Investment & Expansion Outlook

Gurgaon’s AI firms are attracting VC funding from India, the US, and Southeast Asia. According to a 2025 NASSCOM report:

AI startup funding in Gurgaon has grown 180% YOY

Global tech firms are establishing AI labs in the city

AI-led exports from NCR have doubled since 2023

This makes Gurgaon one of the fastest-growing AI clusters in Asia.

The Future: AI + Governance, Manufacturing, and Media

With 5G, IoT, and quantum computing integrations on the rise, Gurgaon’s AI companies are gearing up to lead:

AI-driven national infrastructure projects

Next-gen Holobox public engagement systems

Cross-sector AI adoption—from banks to agriculture

In short, Gurgaon is building the next blueprint of India’s AI-powered future.

[openmindedcare1]

Scalable Software for NDIS Providers

NDIS participants rely on providers to deliver the supports and services that help them pursue their goals. However, it takes time and money to become a registered provider.

Investing in staff, upholding scheme integrity, and fostering a culture of excellence can elevate the services your business provides to participants.

Compliance

NDIS compliance requirements include screening workers, ensuring systems are effective and providing quality support. Providers must also adhere to NDIS practice standards and take a person-centred approach.

Non-compliance can range from accidental mistakes to serious misconduct. For example, if a provider or their worker is caught stealing funds from participants' plans or engaging in fraud it could result in de-registration and even jail time.

To protect their reputation, NDIS providers should keep detailed records and regularly review compliance processes to reduce risk. Strong internal dispute resolution procedures can also help prevent minor issues from escalating into legal action.

As more providers register, the competition for funding will increase and it's important to stay up to date with industry trends to ensure your business remains compliant. Using a centralized platform such as Case IQ to manage incidents, track worker screenings and more can improve your ability to meet compliance requirements. It can also reduce the risk of sensitive data falling into the wrong hands and ensure your clients' safety and privacy.

Diversification

NDIS participants must have access to a variety of supports in order to build skills and independence. But in some areas, market-based approaches have failed to deliver the right supports. Thin markets have left participants with limited or no access to daily activity and therapy supports, and specialised services like behaviour support.

Diversification can help to address this issue by providing additional business growth opportunities, attracting more clients. Collaborative partnerships can also provide synergies that can expand the reach and impact of an NDIS Provider’s services.

The key to success in this area is clear and transparent communication with NDIS participants, actively listening to their needs, and collaborating to craft personalized support plans that directly align with their goals. Using technology solutions that streamline client data management, service booking and billing can further improve client experiences while creating operational efficiencies. Integrated invoicing software can prevent delays and rejections, ensuring NDIS payment requests are submitted on time.

Technology

NDIS participants rely on providers for a variety of services. For example, telehealth enables participants to consult with specialists remotely and receive advice for managing their condition. It also helps participants live independently by providing tools like voice-activated systems and GPS trackers.

NDIA-compliant care management software enables providers to manage billing, payroll and worker contracts. It provides a seamless experience and eliminates silos between different services. It also streamlines compliance reporting, saving finance and HR teams countless hours.

However, implementing a robust care management system can be challenging for some organisations. This is particularly true for providers with multiple service lines. Choosing a solution that offers a single user interface and allows for easy work allocations is essential for maintaining quality and ensuring compliance. Skedulo is one such tool that places quality matching front and centre for each client and makes replacement scheduling fast. It also enables businesses to scale while retaining consistency across all service areas.

Scalability

Running an NDIS operation is no small feat. With increasing demand for services comes growing complexities in managing staff, participants, compliance, and resources. To keep up with operational demands, a scalable software system is essential for NDIS Providers.

When choosing a software service provider, it’s important to evaluate the company’s track record and reputation. A reliable provider should have a support team to assist with any technical issues that may arise. In addition, they should have a comprehensive training program to ensure that your team can quickly adapt to the new system.

Another benefit of outsourcing is that it can save you money in the long run. Specialized providers can offer cost-effective solutions that reduce administrative burdens and improve business management. They can also help you mitigate risks of non-compliance, errors, and legal challenges.

[bestphysiogladstone]

Move Better, Live Stronger – Why Joshua Iaquinto Leads Physiotherapy in Gladstone

When it comes to healing, movement, and getting your life back on track, one name continues to stand out in Gladstone’s physiotherapy scene — Joshua Iaquinto.

With over 15 years of experience, Joshua isn’t just a physio — he’s a movement mentor, a pain problem-solver, and a trusted guide for hundreds of people across the Gladstone region and beyond.

🔍 What Makes Joshua Different?

At PhysioCall.com.au, Joshua delivers more than standard physiotherapy. His work is grounded in evidence-based treatment, but layered with something most clinics don’t offer — a deep understanding of human behaviour and how accountability plays a role in healing.

Through programs like Ground Up Therapy and NoThankYou.com.au, Joshua helps people not only recover physically but also make the mindset shifts that create long-term change. It’s not just about joints and muscles — it’s about habits, stress, and the root causes of pain.

⚡ Advanced Therapy Meets Personalised Care

Joshua combines cutting-edge physio treatments like:

GLA:D Program for Osteoarthritis

Sports Injury & Post-Surgery Rehab

Muscle & Bone Rehab for Aging

Dry Needling, Cupping & Shockwave Therapy

Each plan is tailored specifically to YOU — your body, your goals, and your life stage.

🤝 Trusted by the Community

Joshua’s impact reaches far beyond his clinic walls. From delivering safety talks for High Risk Solutions, to community health events, and free physiotherapy for Combined Services Touch Day, he’s a true contributor to Gladstone’s health and wellbeing.

He’s also co-founder of AskLuci.io, a software platform improving team wellbeing in health clinics across the country.

💬 Why It Matters

Whether you're a tradie, an athlete, or simply tired of living in pain — you deserve a physio who sees the whole picture. And that’s exactly what Joshua Iaquinto delivers.

Visit: www.physiocall.com.au Call: 07 4962 0411

Email: admin@physiocall.com.au https://www.instagram.com/physiocall_australia https://x.com/PhysioCall/ https://au.pinterest.com/physiocall_australia/ https://www.youtube.com/@PhysioCall https://physiocall.com.au/

[nextfleet]

Streamlining Your Business with Car Fleet Management

Managing a fleet of vehicles is no small task. Whether you're running a logistics company, a service-based business, or an organisation with company cars, keeping everything running smoothly requires careful planning. Car fleet management is the key to ensuring your vehicles remain efficient, cost-effective, and reliable while reducing operational headaches.

By implementing a well-structured fleet management strategy, businesses can improve efficiency, reduce costs, and enhance driver safety. Let’s explore the essential elements of car fleet management and how it can benefit your business.

What is Car Fleet Management?

It refers to the administration and coordination of a company’s vehicles to ensure they are properly maintained, efficiently utilised, and cost-effective. This involves tracking vehicle performance, monitoring driver behaviour, managing fuel consumption, and ensuring compliance with safety regulations.

A well-structured fleet management system provides businesses with real-time data, allowing them to make informed decisions that enhance productivity and reduce unnecessary expenses.

The Key Benefits of Car Fleet Management

Investing in a solid car fleet management system provides numerous advantages for businesses, including:

1. Cost Reduction

Vehicle expenses—such as fuel, maintenance, and insurance—can quickly add up. Fleet management solutions help monitor and control these costs by providing insights into fuel usage, identifying underperforming vehicles, and scheduling regular maintenance to avoid costly breakdowns.

2. Improved Efficiency

A fleet management system streamlines operations by optimising routes, reducing idle time, and ensuring vehicles are properly allocated. This allows businesses to complete more tasks with fewer resources, ultimately improving productivity.

3. Enhanced Safety and Compliance

Safety is a top priority for any business with a fleet. Car fleet management systems track driver behaviour, detect harsh braking or speeding, and provide training insights. Additionally, compliance with government regulations—such as vehicle inspections and emissions standards—is easier to maintain.

4. Better Vehicle Maintenance

Regular maintenance extends the lifespan of your fleet and prevents unexpected breakdowns. Fleet management tools provide reminders for scheduled servicing, ensuring your vehicles remain roadworthy and reducing the risk of expensive repairs.

5. Data-Driven Decision Making

Fleet management software collects valuable data, including fuel efficiency, mileage, and maintenance records. This data helps businesses make informed decisions, such as when to retire old vehicles or invest in newer, more fuel-efficient models.

Essential Components of an Effective Fleet Management System

1. GPS Tracking and Telematics

GPS tracking is a game-changer for fleet management. It enables businesses to monitor vehicle locations in real-time, optimise routes, and enhance security. Telematics systems go a step further by tracking driving habits, fuel consumption, and vehicle diagnostics, providing a comprehensive overview of fleet performance.

2. Fuel Management

Fuel is one of the biggest expenses for any fleet. Implementing fuel management strategies—such as monitoring fuel cards, identifying inefficient driving behaviours, and optimising routes—can significantly cut costs. Some fleet management systems even provide reports on fuel usage trends to highlight areas for improvement.

3. Preventative Maintenance Scheduling

Rather than waiting for breakdowns to occur, proactive maintenance keeps vehicles in top condition. Fleet management software can send automated alerts for servicing, oil changes, tyre replacements, and other essential upkeep, reducing the likelihood of unexpected downtime.

4. Compliance and Safety Monitoring

Ensuring that drivers follow safety regulations is crucial. Fleet management solutions can track driver behaviour, enforce seatbelt usage, and issue alerts for speeding or harsh braking. Regular safety training, combined with these insights, helps businesses maintain a culture of responsible driving.

5. Cost Control and Expense Tracking

Understanding where your money is going is vital for maintaining a profitable fleet. A good fleet management system provides detailed reports on operating costs, helping businesses identify wasteful spending and implement cost-saving measures.

How to Implement a Fleet Management Strategy

Step 1: Assess Your Current Fleet Operations

Before making any changes, conduct a thorough review of your current fleet. Identify inefficiencies, analyse costs, and pinpoint areas where improvements can be made.

Step 2: Set Clear Objectives

Define what you want to achieve with your fleet management strategy. Are you looking to reduce fuel costs, improve vehicle longevity, or enhance driver safety? Setting clear goals will guide your decision-making process.

Step 3: Invest in Fleet Management Technology

The right software can make fleet management much easier. Look for a system that offers real-time tracking, maintenance scheduling, and cost analysis to streamline operations.

Step 4: Train Your Drivers

Your drivers play a significant role in fleet efficiency. Provide regular training on fuel-efficient driving, vehicle maintenance, and road safety to ensure they operate vehicles responsibly.

Step 5: Monitor and Adjust as Needed

Fleet management is an ongoing process. Regularly review data reports, track performance metrics, and make adjustments to optimise efficiency and reduce costs.

The Future of Car Fleet Management

With advancements in technology, car fleet management is evolving rapidly. The rise of electric and hybrid vehicles, AI-powered analytics, and automated reporting systems are transforming the way businesses handle their fleets. Companies that embrace these innovations will benefit from lower costs, improved sustainability, and enhanced operational efficiency.

By implementing a robust car fleet management strategy, businesses can stay ahead of the curve and ensure their vehicles operate at peak performance.

To maximise the benefits of fleet management, partnering with a trusted provider can make all the difference. Next Fleet offers comprehensive solutions tailored to your business needs, helping you optimise fleet efficiency, reduce costs, and enhance overall performance. Learn more at Next Fleet.

[rohitpalan]

Behavioral Biometrics Market to Surge to USD 13 Billion by 2033 with a 23.8% CAGR, Reports Future Market Insights

The behavioural biometrics market is projected to generate revenues of US$ 1,254.7 million in 2022 and US$ 1,533.2 million in 2023, according to Future Industry Insights (FMI). With a CAGR of 23.8% from 2023 to 2033, the worldwide market is anticipated to be worth US$ 13,001.4 million by that year.

As the behavioural biometrics business expands, the leaders in the sector will face more competition. In 2022, the top five suppliers will hold a 55.0% share of the market, according to FMI.

Behavioural biometrics solutions have opportunities to grow as a result of ongoing development and the implementation of new technologies/software, including advanced behavioural biometrics innovations, human behavioural patterns, and machine learning/deep learning for identity identification and validation, preventing fraud, and multiple-factor authorization applications.

Behavioral?biometrics are being used in a variety of businesses with a digital presence and are positioned to play an important role in increasing digital trust and safety. For financial institutions, digital banking is one of the most successful platforms for driving growth, attracting new clients, and increasing income.

Behavioral?biometrics has a number of applications in the banking industry, including account opening safeguards, account takeover security, and social engineering fraud detection, among others. The dependability of behavioral biometrics and?biometrics technologies will drive their use in the BFSI industry.

Key Takeaways

South Asia is expected to develop rapidly in the market, with a CAGR of over 35% from 2023 to 2033.

According to Future Market Insight, the top 15 firms presently account for about 55%-60% of the market share in 2023.

Demand for banking, financial services, and insurance (BFSI) is expected to rise at a 28% CAGR throughout the projection period.

The market increased at a CAGR of 21.7% over the previous five years

According to the analysis, the United States will account for roughly 18.5% of the North American market by 2033.

“The expansion of real-time transaction and mobile banking systems in the country has increased fraud,?fueling?the demand for?behavioral?biometrics. Furthermore, financial solution suppliers in the South Asia & Pacific area are working on providing their clients with safe verification solutions based on sophisticated?behavioral?biometrics technology,” says the FMI analyst. 

Competitive Landscape

BioCatch, a worldwide leader in?behavioral?biometric intelligence and sophisticated fraud prevention technologies, opened its Australian headquarters on February 8, 2023. Furthermore, the corporation reinforces its worldwide leadership position by establishing operations throughout Asia-Pacific, with branches in Australia and Singapore.

According to a report released in?May 2023, Amsterdam-based ThreatFabric obtained €11.5 million (roughly US$12.55 million) in an initial fundraising round, with aspirations to broaden its?behavioral?biometrics and safeguard?against fraud capabilities.

More Valuable Insights

Future Market Insights, in its new offering, presents an unbiased analysis of the Global Behavioral Biometrics market presenting a historical analysis from 2018 to 2022 and forecast statistics for the period of 2023 to 2033.

The study reveals essential insights by Solution (Software, Services), Application (Identity Verification & Validation, Fraud Prevention, Multi-factor Authentication), Enterprise Size (SMEs, Large enterprises), Industry (BFSI, Retail and eCommerce, Healthcare, IT & Telecom, Government and Defense) & Region.

Behavioral Biometrics Market Outlook by Category

By Solution:

Behavioral Biometrics Software

Cloud-Based

On-Premise

Services

Consulting Services

Implementation Services

Support & Maintenance

Managed Services

By Application:

Identity Verification & Validation

Fraud Prevention

Multi-factor Authentication

Others

By Enterprise Size:

Small and Medium-sized Enterprises (SMEs)

Large Enterprises

By Industry:

Banking, Financial Services, and Insurance (BFSI)

Retail and E-commerce

Healthcare

IT & Telecom

Government and Defense

Others

By Region:

North America

Latin America

Europe

East Asia

South Asia

Oceania

Middle East and Africa

About Future Market Insights (FMI)

Future Market Insights, Inc. (ESOMAR certified, recipient of the Stevie Award, and a member of the Greater New York Chamber of Commerce) offers profound insights into the driving factors that are boosting demand in the market. FMI stands as the leading global provider of market intelligence, advisory services, consulting, and events for the Packaging, Food and Beverage, Consumer Technology, Healthcare, Industrial, and Chemicals markets. With a vast team of over 400 analysts worldwide, FMI provides global, regional, and local expertise on diverse domains and industry trends across more than 110 countries. Join us as we commemorate 10 years of delivering trusted market insights. Reflecting on a decade of achievements, we continue to lead with integrity, innovation, and expertise.

Contact Us:      

Future Market Insights Inc. Christiana Corporate, 200 Continental Drive, Suite 401, Newark, Delaware - 19713, USA T: +1-347-918-3531 For Sales Enquiries: sales@futuremarketinsights.com Website: https://www.futuremarketinsights.com LinkedIn| Twitter| Blogs | YouTube

[viact1]

How Industrial Safety Software Minimizes Hazards in the Workplace

In construction, manufacturing, mining, automotive or even smart cities, safety has ceased to be merely about fulfilling a legal requirement but rather one of the pillars on which to base long-term success and stability. The more connected the world becomes, the more evident it is that the AI and smart system force can make a difference in protecting people, increasing efficiency, and, ultimately, profits.

Industrial safety software is a kind of lifeline that has been offered to organizations in the different sectors of Asia. This would safeguard the operational place and reduce further hazards and thus will add to the growth of organizations. In this blog, you will discuss its concept and why every business must take up this opportunity.

The Need for Safety in Industrial Sectors

It seems when construction, manufacturing, or mining is in play, danger lurks at every step. An accident-prone disruption can cause drastic injuries or even death, affecting employees of an organization and its smooth running of business. It runs through the veins of food & beverages, the automotive industries, facility management, and governments across the world.

For example, falls from height remain among the main reasons for fatalities in the construction industry. This is also the reality of the manufacturing sector as it encounters problems such as machine breakdown, slips, trips, and falls. All these can be avoided if you invest in industrial safety software powered by AI and advanced video analytics.

How Industrial Safety Software Powered by AI and Advanced Video Analytics Works

This AI-based industrial safety software utilizes intelligent monitoring via video and machine learning to detect hazards in real-time. It could quickly scan files from video cameras, drones, or even wearable sensors to detect risk-prone behaviours or conditions. In the event of a risky condition, the system alerts the supervisors, managers, and safety officers instantly for they to act promptly and not allow accidents to happen.

For instance, in a building site, an AI technology would notice a worker without proper PPE or making a dangerous choice, like climbing without a harness. These early warnings minimize errors on the human side and respond even faster than human surveillance to enable a huge margin reduction in safety compliance errors.

Advantages of Industrial Safety Software in Various Fields

1. Increased Safety and Accident Prevention

Industrial safety software provides the maximum benefit of an injury-free workplace. Analyzing most of the real-time data, the AI system will detect near-miss incidents even before they become actual accidents. Be it a potential tripping hazard on the manufacturing floor or recognizing the risk of falling in construction, AI ensures preventive action taken promptly saves lives and decreases worksite disruptions.

2. Avoidance of Human Error and Efficiency Enhancement

Any workplace is often primed for accidents due to human error. However, AI technology will significantly reduce errors resulting from driver fatigue distraction or simply oversight. The system continues monitoring the environment and reports unsafe acts so that all safety standards can be ensured without relying on merely human vigilance.

3. Higher Profitability and Growth

Although safety software would seem like something of an investment upfront, it delivers enormous long-term payback through a reduction in the occurrence of accidents on job sites that would otherwise have led to cost ramifications involving workers' compensation, medical expenses, and insurance premiums. Fewer accidents result in fewer work stoppages, less time down, and a more productive workforce.

4. Real-Time Monitoring Helps In Making Smarter Decisions

The AI system can track and monitor in a much more effective and real-time manner than is possible today. Risks regarding the actions of a worker, improper usage of PPE, or dangerous tilt on a gondola can be tracked in real time by safety officers, site managers, or even external stakeholders. Instant alerts can be sent to all parties involved to enable them to take the necessary steps to prevent any accident or injury.

5. Better Compliance and Documentation

Construction and manufacturing industries will require stringent safety standards. These industries demand strict compliance with regulations. Business houses can maintain safety compliance with the assistance of AI-based safety software that can utilize automatically monitored safety metrics to produce reports, ensuring all necessary safety controls, and other such by-products. Such systems can generate detailed audit trails in support of compliance and even prevent penalties at law.

Why Asian Industries Should Cheer AI-Based Safety Solutions

Asian businesses must be watchful of all the emerging advanced AI-related technologies in industrial safety in a modernized and fully globalized economy so as to stay competitive. For instance, there is heavy investment by many Asian nations in smart technologies and automation of industries for maximum economic growth. AI-based systems will further improve industrial safety while operating in sync with the overall digital transformation model that is taking place throughout Asia.

AI safety software, the manufacturing, construction, and automotive sectors can provide safety standards and productivity along with cost reductions while creating a safer and more secure working environment for employees.

Conclusion

A future smart, automated, and AI-driven workplace can only mean one thing: revolution in the field of workplace safety. The reasons why AI-based industrial safety software is changing the way construction, mining, automobiles, and other industries work are minimized hazards, improved efficiency, and an increase in profitability. It's now time for Asian businesses to take advantage of the benefits that AI and smart safety systems afford with viAct products. It is no longer just a question of meeting safety requirements but it's generating a healthy and profitable workplace in which safety and innovation go hand in hand.

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AI for EHS Monitoring: A New Era of Construction Safety

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Model-Based Control System Design by Embedded Software Experts

In today’s rapidly evolving technological landscape, control systems are becoming more complex, demanding advanced design methodologies that ensure precision, efficiency, and reliability. This is where Model-Based Control System Design steps in, offering a revolutionary approach to control system development. By leveraging the expertise of an embedded software company, organisations can streamline their design processes, reduce development costs, and ensure their systems perform optimally under a wide range of conditions.

What is Model-Based Control System Design?

Model-Based Control System Design (MBCSD) is a systematic approach to designing control systems using mathematical models to simulate, analyse, and optimise system behaviour. Unlike traditional trial-and-error methods, MBCSD relies on accurate representations of the physical system, allowing engineers to test and validate control strategies in a virtual environment before implementation.

This methodology integrates simulation tools, control theory, and software development into a cohesive workflow, offering a high degree of flexibility and scalability. It is particularly valuable in industries like automotive, aerospace, robotics, and energy, where precision and safety are critical.

The Role of Embedded Software Companies

An embedded software company plays a pivotal role in bringing Model-Based Control System Design to life. Embedded systems, which are dedicated computer systems integrated into larger devices, require tailored software solutions to function effectively. These companies specialise in developing software that seamlessly integrates with hardware components, ensuring optimal performance and reliability.

By combining their expertise in embedded systems with MBCSD principles, these companies help organisations design robust control systems that meet stringent performance and safety standards.

Key Benefits of Model-Based Control System Design

Improved Accuracy and ReliabilityMBCSD allows engineers to create detailed models of physical systems, capturing their dynamics and constraints with precision. This enables the design of controllers that can predict and adapt to various operating conditions, improving reliability and performance.

Reduced Development TimeTraditional control system design often involves multiple iterations of prototyping and testing. With MBCSD, simulations can replace physical testing for many scenarios, significantly reducing development time and costs.

Seamless Integration with Embedded SystemsEmbedded software companies ensure that control algorithms designed using MBCSD are optimised for real-time implementation in embedded systems. This seamless integration is essential for applications where timing and efficiency are critical.

Enhanced Flexibility and ScalabilityModels can be easily modified to accommodate design changes, new requirements, or hardware upgrades. This flexibility makes MBCSD a future-proof solution for control system design.

Early Detection of IssuesSimulations allow engineers to identify and address potential issues early in the design process, minimising the risk of costly errors or failures in later stages.

Applications of Model-Based Control System Design

1. Automotive Industry

In modern vehicles, control systems govern critical functions like engine performance, braking, and autonomous driving. Model-Based Control System Design enables automakers to develop systems that enhance safety, efficiency, and user experience.

2. Aerospace and Defense

Aircraft and defence systems require precise control under varying conditions. MBCSD ensures these systems perform reliably, whether managing flight dynamics or stabilising weapon systems.

3. Robotics

Robotic systems rely on control algorithms for motion planning, obstacle avoidance, and task execution. MBCSD allows engineers to simulate these scenarios, optimising performance before deployment.

4. Renewable Energy Systems

Wind turbines, solar trackers, and energy storage systems benefit from advanced control strategies that maximise efficiency and adaptability. MBCSD enables the design of these sophisticated systems.

5. Industrial Automation

In manufacturing, control systems manage everything from assembly lines to quality control. MBCSD ensures these systems operate efficiently, reducing downtime and improving output.

Why Partner with an Embedded Software Company?

Collaborating with an embedded software company provides several advantages in the context of Model-Based Control System Design:

Specialised ExpertiseThese companies bring deep knowledge of embedded systems and real-time software development, ensuring control algorithms are implemented effectively.

Access to Advanced ToolsEmbedded software companies often have access to state-of-the-art modelling and simulation tools, enhancing the accuracy and efficiency of the design process.

Customization and OptimizationThey tailor software solutions to meet the specific needs of your application, optimising performance and ensuring seamless hardware integration.

Compliance with StandardsMany industries have stringent safety and performance standards. Embedded software companies ensure your control systems meet these requirements.

Ongoing Support and MaintenanceFrom initial design to post-deployment support, these companies provide end-to-end services, ensuring your systems remain reliable and up to date.

The Future of Model-Based Control System Design

As industries continue to embrace automation and digital transformation, the demand for advanced control systems will only grow. Innovations like artificial intelligence, machine learning, and the Internet of Things (IoT) are further expanding the possibilities for Model-Based Control System Design.

Embedded software companies will play a crucial role in this evolution, developing software solutions that harness these technologies to create smarter, more adaptive control systems. From self-driving cars to intelligent factories, the future of MBCSD promises exciting opportunities for innovation.

Conclusion

Model-Based Control System Design is revolutionising the way control systems are developed, offering unmatched accuracy, efficiency, and flexibility. By partnering with an embedded software company, organisations can unlock the full potential of this methodology, ensuring their systems perform optimally in today’s fast-paced and competitive markets.

Whether you’re designing control systems for automotive, aerospace, or industrial applications, the combination of MBCSD and embedded software expertise is a game-changer, paving the way for smarter, safer, and more efficient systems.