#AI-powered ERP systems

[matiyasolutions]

Integrating AI in ERP systems revolutionizes business operations by automating tasks, offering predictive analytics, and enhancing decision-making. Key benefits include improved efficiency, reduced costs, and personalized insights. Examples include AI-driven demand forecasting, inventory optimization, and real-time performance tracking.

However, implementing AI in ERP comes with challenges such as high costs, the need for clean data, and workforce upskilling. Overcoming these hurdles requires a strategic approach, starting with clear goals, proper data preparation, and expert guidance.

AI-powered ERP systems pave the way for smarter business operations, driving growth and innovation in today's competitive landscape.

[kamalkafir-blog]

Technical Project Manager

Job title: Technical Project Manager Company: Sports Directory Job description: or hybrid delivery frameworks Project management certifications (Scrum Master, Prince2, PMP) Experience in an eCommerce… Expected salary: Location: Dartford, Kent Job date: Sat, 28 Jun 2025 22:12:53 GMT Apply for the job now!

[jcmarchi]

Aibidia Secures $28 Million in Series B Funding to Expand AI-Powered Tax Tech to the US Market

New Post has been published on https://thedigitalinsider.com/aibidia-secures-28-million-in-series-b-funding-to-expand-ai-powered-tax-tech-to-the-us-market/

Aibidia Secures $28 Million in Series B Funding to Expand AI-Powered Tax Tech to the US Market

Aibidia, a Finnish fintech innovator, has successfully raised $28 million in Series B funding, positioning itself to scale its AI-driven tax technology platform for multinational corporations across the US. The round, led by Activant with participation from existing investors DN Capital, FPV, and Icebreaker.vc, marks a pivotal moment in the company’s journey to bring advanced tax compliance and transfer pricing solutions to global enterprises facing increasing regulatory challenges.

Since its founding in 2018, Aibidia has become a critical part of the tax tech ecosystem for large corporations. Its platform, which automates and optimizes global transfer pricing and tax compliance processes, is already helping multinational giants like Unilever, Nokia, Dyson, and Delivery Hero navigate the complexities of international tax laws. By streamlining tax-related workflows and ensuring compliance with intricate and evolving global tax regulations, Aibidia allows businesses to mitigate risk and save valuable time.

Solving Complex Transfer Pricing Challenges with AI

Transfer pricing, the practice of setting prices for transactions between subsidiaries of a multinational company, is a critical yet often complex process. As global trade evolves, tax regulations such as the OECD’s BEPS 2.0 framework and the EU’s BEFIT initiative are tightening, increasing scrutiny from regulators worldwide. Aibidia’s AI-powered platform addresses these complexities by automating calculations, risk assessments, and scenario modeling to help companies stay compliant and avoid costly mistakes.

The platform centralizes tax data and integrates it with third-party data, creating a “single source of truth” for companies. This enables teams across departments and geographies to collaborate more efficiently, eliminating silos and ensuring all stakeholders have access to accurate, up-to-date information. Aibidia’s AI-driven insights not only help companies comply with existing regulations but also prepare for future shifts in the tax landscape.

Aibidia’s Expanding US Presence

The latest round of funding comes at a time when Aibidia is strategically expanding its footprint in the US, a key growth market. With over 15% of its revenue already coming from American clients, the company’s commitment to serving the US market is reflected in its recent opening of a Manhattan office. This expansion is backed by a growing demand for Aibidia’s tax solutions from US-based multinational corporations, including S&P 500 companies such as EPAM Systems, Aptiv, and Omnicom.

“Multinational corporations are facing an increasingly complex web of tax regulations,” said Hannu-Tapani Leppänen, CEO of Aibidia. “Our platform helps them operate global supply chains more efficiently and effectively. This funding will allow us to bring our technology to the US, where demand is rapidly growing.”

The investment will enable Aibidia to enhance its product offerings and accelerate its market penetration in the US, where its innovative use of AI to tackle transfer pricing and compliance challenges is garnering increasing attention.

AI and Machine Learning at the Core

At the heart of Aibidia’s success is its innovative use of artificial intelligence and machine learning. By leveraging advanced algorithms, Aibidia’s platform automates complex manual tasks that are typically time-consuming and prone to error. For example, its AI-powered solution calculates transfer pricing adjustments and performs risk assessments based on real-time data, ensuring accuracy and reducing reliance on external advisors.

The company’s machine learning capabilities also extend to predictive analytics, where the platform forecasts potential tax risks based on historical data and upcoming regulatory changes. This proactive approach to risk management is critical for multinational enterprises navigating the turbulent waters of global tax compliance.

Additionally, Aibidia’s platform incorporates AI-driven scenario modeling, allowing businesses to test different pricing structures and tax strategies before implementing them. This enables more informed decision-making and helps companies align their global tax strategies with business objectives.

Global Expansion on the Horizon

With a proven track record of success in Europe, Aibidia is now well-positioned to scale its solutions on a global level. The company serves over 100 multinational clients, with a focus on large enterprises with revenues of approximately €7 billion. As Aibidia’s US market share continues to grow, the company aims to expand into new international markets, providing an AI-powered solution for transfer pricing that is both scalable and adaptable to the specific needs of different regions.

The latest investment round validates Aibidia’s innovative approach to solving complex tax challenges and further cements its status as a leading player in the AI-powered fintech space. With a deep understanding of both technology and transfer pricing intricacies, the Aibidia team is poised to continue revolutionizing how multinational corporations approach global tax compliance.

What’s Next for Aibidia?

As Aibidia continues to innovate and expand, the company plans to launch additional features and products to support its clients’ evolving needs. These include enhanced integrations with leading ERP systems, further automation of tax reporting, and increased data transparency and accessibility.

For businesses dealing with complex transfer pricing issues, Aibidia’s AI-driven platform is proving to be an invaluable tool that not only helps with compliance but also unlocks new efficiencies and cost savings. As global tax regulations continue to evolve, Aibidia’s platform is set to remain at the forefront of the industry, helping businesses stay ahead of the curve.

The global tax technology market is expected to grow from $18.53 billion in 2024 to $36.72 billion by 2030, driven by the increasing complexity of tax regulations and the demand for automated solutions. This latest funding round, coupled with Aibidia’s growing presence in the US and beyond, signals a bright future for the company as it continues to redefine how enterprises manage their global tax operations in this rapidly expanding market.

[atcuality1]

Custom AWS Solutions for Modern Enterprises - Atcuality

Amazon Web Services offer an unparalleled ecosystem of cloud computing tools that cater to businesses of all sizes. At ATCuality, we understand that no two companies are the same, which is why we provide custom Amazon Web Services solutions tailored to your specific goals. From designing scalable architectures to implementing cutting-edge machine learning capabilities, our AWS services ensure that your business stays ahead of the curve. The flexibility of Amazon Web Services allows for easy integration with your existing systems, paving the way for seamless growth and enhanced efficiency. Let us help you harness the power of AWS for your enterprise.

[ismedusoftsol]

How to Choose the Right Education Learning Management System for Your Institution

Anamika's Challenge with School Management

Meet Anamika, the head of a fast expanding K–12 institution. Her workload climbed significantly each new semester, and the complexity of running several departments also increased. From admissions and attendance to fee collecting, library administration, and exam scheduling—Anamika felt she was drowning in administrative chores.

Her staff depended on hand procedures that allowed for mistakes since student data was spread over several systems. She knew her institution needed a solution that would simplify these processes, but every learning management system (LMS) she looked at appeared either too costly, too complicated, or not fit for her university.

Anamika annoyance is not unusual; education institutions all around struggle with comparable administrative process management issues. Rising demand for automation in education systems is expected to push the global education LMS market to reach $25.2 billion by 2026, according to a Research and Markets analysis. Still, many find it difficult to choose the correct LMS solution in such a packed market.

A Global Issue in Management of Education

It is true that the challenge to effectively handle educational data is worldwide. The latest studies reveal that employing learning management systems around 60% of educational institutions claim notable time and cost reductions.

Even though new-age LMS like ISMEDU Software Solution INTELS is revolutionizing the way for the education industry worldwide, still a lot of colleges and universities rely on antiquated systems or manual procedures, which results in data silos, inefficiencies, and a dearth of real-time institutional performance analysis.

These inefficiencies plague teachers, administrators, and students all around. Knowing the key characteristics of an LSM becomes crucial to prevent expensive errors as organizations all around try to migrate toward digital platforms. Here's some guidance on things to search for in choosing the correct LMS for your company.

Important Factors to Guide Selection of the Correct Education LMS

1. Specify the Special Needs of Your Education Institution

Every institution has a different culture and structure, and so does its LMS demand. Clearly state the main problems you want to address before investigating the ideal learning management system.

Look for things like:

Is there a way you might effectively control enrollment and admission?

Are you mostly interested in automating payroll and fee collection in finance?

How important are scholarly elements such as grading, reporting, and curriculum planning?

This needs-based strategy guarantees that the LMS you choose complements the objectives and mission of your educational institution, therefore improving output in areas of most importance.

2. Review Core Features and Customizing Choices

Though not all of the characteristics of a learning management system will be applicable to every institution, they offer a broad spectrum. These elements should help you to think through:

Tracking student enrollment, attendance, grades, and behavior comes mostly from a central dashboard in student information management.

Automate payroll, billing, fees collecting, budget tracking in financial management.

Curriculum and Academic Management: Tracking academic performance, class scheduling, course management.

Channels of flawless communication between parents, instructors, and students help to foster involvement.

Furthermore, look for a learning management system with customizable choices so you may add modules as your university expands or change features. Flexibility guarantees that the LMS may change to meet changing requirements of your company.

3. User-Friendly Interface

Only if your staff, teachers, admin and other stakeholders can use LMS effectively will it be most powerful.

Test end users to assess the usability of the product when assessing solutions. It should be easy for administrators, educators and even children who will be interacting with the system.

4. Integration Capabilities

Many organizations already make use of several software programs for varied purposes, like HR systems, finance systems, or library administration. Reducing data silos and guaranteeing a consistent experience across departments depend on selecting an LMS that can easily interact with various technologies and easily integrate within your institution’s system.

5. Reliable Training and Customer Support

Learning management system provider’s post-implementation support could either make or ruin the experience.

To handle any technical problems, go for providers that provide complete onboarding, continuous training courses, and 24-hour customer service. (24-hour availability? Who does that? Read till the end)

A well-supported learning management system guarantees that, even in difficult circumstances, your institution can keep running without hiccups.

Learn more..

[alwajeeztech]

Documents Management in ALZERP Cloud ERP Software

In today’s fast-paced business environment, managing and organizing documents effectively is crucial for operational efficiency. ALZERP Cloud ERP Software offers a robust Documents Library or File Storage feature, designed to streamline document management and ensure your business remains agile, compliant, and efficient. This article delves into the comprehensive capabilities of the Documents…

[enterprise-cloud-services]

Empower your ERP with Gen AI for accurate organizational planning that adapts and scales with your business needs.

[rubylogan15]

Empower your ERP with Gen AI for accurate organizational planning that adapts and scales with your business needs.

[generative-ai-in-bi]

How Does Gen AI in ERP Transform Organizational Planning?

Original Source: How Does Gen AI in ERP Transform Organizational Planning?

The digitalization of enterprises is happening at a fast pace with the help of ERP systems being an important aspect. As for the most recent advancements, Generative AI (Gen AI) will reshape how organizations design, navigate, and develop in the future. This article aims to describe how Gen AI has been implemented in connection with ERP systems to become a source of planning for an organization, and demonstrates unparalleled levels of performance and levels of planning.

Understanding the Role of Generative AI in ERP Systems

Generative AI is used to describe the subset of artificial intelligence that is capable of providing new content, designs or predictions with the help of available data. Incorporated in the ERP environment, Gen AI provides a suite of tools that go well beyond what simple automation or data mining can provide. It can automatically create simulation, prediction and analysis results to enhance the ability of an organisation to respond to market fluctuations and to allocate its resources effectively and efficiently with regards to its strategic goals and objectives.

AI-Enabled ERP Systems are not just databases with data storage but the real-time driving forces advancing with the business processes. As a result of generative AI, the ERP systems become capable of learning from the data collected in real-time providing organizations with a more flexible planning ERP systems. This evolution means that ERP systems can now forecast the market trends, understand the work inefficiencies, and offer solutions without much human input.

For example, where there is a need to predict future demand in supply chain management Gen AI is capable of studying past data and the current market trends in order to get it right. The use of this AI-Based ERPForecasting can help to avoid the scenario of stock-outs and overstocks of goods so as to meet the market demands. Thus, Gen AI is a significant development that upgrades ERP systems into predictive tools to support proactive decision-making.

The Impact of Gen AI on Operational Efficiencies in ERP

Another improvement that is attributed to Gen AI on ERP systems is the improvement of the operating process. Typically used ERP systems are based over the programmed workflows for navigating through the organizational processes which are restrictive and time-consuming. However, Gen AI offers functionality that makes ERP systems intelligent and capable of improving organizational processes in real-time.

In ERP systems, AI-Powered Forecasting can alert the organization on any future threats to supply chains, production or logistics so that the organization can take corrective action. For example, if a specific supplier is expected to deliver materials late, the system can change production plans or find an alternative source of supply to minimize disruption.

Furthermore, Generative AI has an ability to recognize regularities in huge and even innumerable sets of data, which no human can ever detect. This capability is useful not only in sectors such as manufacturing but in any area where even a small level of organisational waste means a high level of financial waste. Since Gen AI has the ability to detect and correct these inefficiencies in real time, it eliminates most of the waste produced by the system.

Enhancing Forecasting and Predictive Analytics with Generative AI in ERP

It is clear that forecasting and predictive analytics are essential parts of organizational planning, and Generative AI enhances these functions. Historical cost systems also depend on historical records that have their drawbacks especially in dynamic markets.

Gen AI for Strategic Planning in ERP is a great approach to the concept of forecasting as it takes into account more factors and possibilities. It can use data on market conditions, consumer behaviour, economic factors, and even social media trends to produce more refined forecasts. This integrated approach can foster decision making in an organization in order to achieve the overall goals within the short term and the long term.

For instance, in the financial planning, Gen AI is capable of predicting the tendencies in cash flows not only on the basis of the previous financial results but also taking into account the fluctuations of the stock market or the tendencies in consumer behaviour. Such perspective enables the CFOs to control the flow of funds, make excellent decisions on resource allocation, and to avert various financial risks.

Further, the use of AI-based ERP forecasting tools can generate new models which are refined with new data as it is generated. This means that forecasts can be updated frequently, and this gives organizations insights they need for quick decision making in their operations.

Automating Business Processes and Decision-Making with Generative AI in ERP 

ERP systems have always incorporated automation, but Generative AI goes beyond automating simple processes to incorporating the automation of decision-making. This capability is especially useful in conditions where quick and correct results are achievable.

Various decision making in enabled by the AI-Enabled ERP Systems such as the analysis of large data sets to come up with the appropriate solution to a given problem based on the set parameters. For example, in procurement and supply chain, Gen AI can on its own choose the right suppliers in terms of price, quality, and delivery. This minimizes the time of decision making and makes the strategies and decisions more accurate and rational.

Also, there is the ability of Gen AI to take on different routines that used to be repetitive, time-consuming, and error-prone. In human resources for instance, it automates the process of selection by comparing the resumes and recommending candidates for certain positions due to skills, experience and company culture. This not only makes the process of hiring faster, but also increases the rate of quality hires.

In finance, Gen AI can assist in preparation of various financial statements where transactions are analysed to determine trends as well as variations. This helps to keep financial data realistic, timely, and in compliance with any required legal standards.

Enhancing Workforce and Resource Planning with Generative AI in ERP

Workforce and resource management are strategic in enabling organization achieve their goals and objectives. Thus, generative AI improves these and expands them by providing a more profound understanding of the dynamics of the workforce and the use of resources.

Through use of generative AI in the ERP systems, performance data of employees, their skills and the work load can be analysed in order to facilitate workforce planning. For instance, it can determine skills deficiency and lectures that appropriate training should be offered, or resources redistribution that should be made to projects. These checks ensure that the right people with the right skills are in the right place in the organisation.

It is possible to use Gen AI for resource planning, and thereby allocating resources like equipment, materials, and capital efficiently. Therefore, by examining usage trends and demand specifications, it can help identify areas of optimizing waste and increasing profitability and efficiency of ROI. For instance, in manufacturing facilities, the Gen AI can schedule production in a way that recognizes the available machines, costs of labour and the materials available.

Such level of accuracy in determining the strength and the resources needed makes it possible to flexibly address the market needs, reduce time wastage and maximize on output.

Personalized Reporting and Intelligent Insights with Generative AI in ERP

Enumerated below are some of the benefits of AI-Enabled ERP Systems the provision of customized reports and recommendations included. Conventional ERP systems have set reports that may be altered by the user with little complexity for additional advanced reports. Gen AI, on the other hand, can produce reports which meet the specific needs and demands of every user or department.

For example, it would be possible for a sales manager to receive a report to be briefed on customer trends while a finance manager would receive a report to be briefed on cash flows, profitability among other related issues. The detailed reports are produced automatically and it is still possible to filter them according to the user needs.

Besides individualized reporting, Generative AI in ERP systems can offer decision-making support to their users. For example, on the basis of competitor data the system could advise on pricing strategies and on the basis of feedback data on how to increase customer satisfaction.

These intelligent insights are not only real-time or after-the-fact; they are also predictive. Gen AI can determine in the early stages that a particular trend is developing or a threat is imminent and inform the users. This allows organizations to keep an eye on closest competitors and pursue opportunities where they exist.

Conclusion: The Transformative Future of Gen AI in Enterprise Resource Planning

Given the current nature of the business landscape, the future significance of Generative AI in ERP systems will remain equally important to organizations. Enhancing operation efficiency and integrating the process of decision making and providing smart business intelligence is making ERP systems Generative AI the element of change in organizational management plans today.

The use of Gen AI in ERP systems brings a new concept in organizational planning in different businesses. With AI integration, organizations can adopt proactive, timely and quick strategies and plans, thus ensuring an organization is future-ready in a fast-growing world economy.

Therefore, AI-Powered Forecasting in ERP has a very bright future with a world full of opportunities for advancement. As organizations try to seek and adopt these technologies, it will become clearer and thus result into the new phase of strategic management and implementation.

Original Source: How Does Gen AI in ERP Transform Organizational Planning?

[dieterziegler159]

How Does Gen AI in ERP Transform Organizational Planning?

Empower your ERP with Gen AI for accurate organizational planning that adapts and scales with your business needs.

The digitalization of enterprises is happening at a fast pace with the help of ERP systems being an important aspect. As for the most recent advancements, Generative AI (Gen AI) will reshape how organizations design, navigate, and develop in the future. This article aims to describe how Gen AI has been implemented in connection with ERP systems to become a source of planning for an organization,…

[fieldez]

Boost Your Business with Field Service Management Apps by FieldEZ Technologies

In today’s fast-paced, customer-centric business landscape, ensuring efficient field operations is not just an advantage — it’s a necessity. Whether you manage service technicians, sales teams, or retail staff on the ground, optimizing their workflow and performance can directly influence your business growth. That’s where field service management apps come in — and FieldEZ Technologies leads the way with smart, intuitive solutions designed to automate, streamline, and scale your field operations.

The Power of Field Service Management Software:

Field service management software helps businesses manage their remote workforce efficiently. It encompasses features like task scheduling, dispatching, real-time location tracking, attendance management, expense reporting, and analytics. This software transforms traditional manual operations into a seamless, automated experience — improving productivity, reducing errors, and enhancing customer satisfaction.

By integrating workflow automation, FSM apps eliminate repetitive tasks, reduce paperwork, and give managers better control over every stage of a field operation. With FieldEZ Technologies, you get a comprehensive suite of tools that empower your teams and delight your clients.

Introducing FieldEZ Technologies:

FieldEZ is a trusted name in field service automation, catering to various industries such as telecom, HVAC, retail, healthcare, and more. Their innovative platforms — ServiceEZ, SalesEZ, and RetailEZ — are designed to meet specific operational needs while delivering maximum efficiency.

Let’s dive into how these apps can boost your business:

1. ServiceEZ — Streamlining Field Service Operations

ServiceEZ is a powerful field service management app built to simplify the life of service teams. From job assignments and live tracking to invoicing and customer feedback, everything is integrated into one seamless platform. ServiceEZ ensures:

Faster response times

Reduced service delays

Better workforce utilization

Transparent customer communication

With its intuitive interface and workflow automation features, ServiceEZ minimizes downtime and ensures that service technicians are always where they need to be, with the right tools and information.

2. SalesEZ — Empowering Field Sales Teams

Field sales can be unpredictable and hard to manage without the right technology. SalesEZ gives you control over sales representatives in real time. Features like route planning, geo-tracking, sales reporting, and lead management help boost sales performance significantly. SalesEZ enables:

Real-time sales data insights

Automated reporting and forecasting

Seamless lead-to-order workflows

Geo-fenced check-ins and time tracking

By automating repetitive tasks and offering mobile access to customer information, SalesEZ improves the effectiveness and accountability of your sales force.

3. RetailEZ — Enhancing Retail Execution

For retail brands with distributed teams handling merchandising, audits, or promotions, RetailEZ brings unmatched visibility and control. It helps ensure retail execution is consistent, data-driven, and timely. Key benefits include:

Real-time field activity updates

In-store compliance tracking

Promotion execution monitoring

Inventory and planogram audits

RetailEZ supports efficient retail operations while delivering valuable insights into market trends and consumer behaviors.

Why Choose FieldEZ?

What sets FieldEZ Technologies apart is its commitment to workflow automation, mobile-first design, and customizable modules. Their solutions integrate easily with your existing ERP, CRM, or HR systems, ensuring a hassle-free experience across departments. With features like offline mode, AI-driven analytics, and multilingual support, FieldEZ apps are built for real-world field challenges.

Conclusion:

Investing in field service management software like those offered by FieldEZ Technologies can be a game-changer for your business. Whether you aim to improve service response, empower your sales team, or manage your retail presence, FieldEZ’s apps — ServiceEZ, SalesEZ, and RetailEZ — offer the tools you need to succeed.

Boost your business with smarter, faster, and more connected field operations — powered by FieldEZ.

[kamalkafir-blog]

Senior Python Software Engineer

Job title: Senior Python Software Engineer Company: Xpertise Recruitment Job description: Cloud–native deployment skills (AWS, Azure or GCP) Infrastructure-as-Code with Terraform, Docker, Kubernetes…Senior Python Developer // Derby (onsite) // £60,000 – £80,000 This is a senior backend role for someone who wants… Expected salary: £70000 per year Location: Derby Job date: Fri, 27 Jun 2025 22:39:09…

[aktechworld]

Role of AI and Automation in Modern CRM Software

Modern CRM systems are no longer just about storing contact information. Today, businesses expect their CRM to predict behavior, streamline communication, and drive efficiency — and that’s exactly what AI and automation bring to the table.

Here’s how AI and automation are transforming the CRM landscape:

1. Predictive Lead Scoring

Uses historical customer data to rank leads by conversion probability

Prioritizes outreach efforts based on buying signals

Reduces time spent on low-potential leads

Improves sales team performance and ROI

2. Smart Sales Forecasting

Analyzes trends, seasonality, and deal history to forecast revenue

Updates projections in real-time based on new data

Helps sales managers set realistic targets and resource plans

Supports dynamic pipeline adjustments

3. Automated Customer Support

AI-powered chatbots handle FAQs and common issues 24/7

Sentiment analysis flags negative interactions for human follow-up

Automated ticket routing ensures faster resolution

Reduces support workload and boosts satisfaction

4. Personalized Customer Journeys

Machine learning tailors emails, offers, and messages per user behavior

Automation triggers based on milestones or inactivity

Custom workflows guide users through onboarding, upgrades, or renewals

Improves customer engagement and retention

5. Data Cleanup and Enrichment

AI tools detect duplicate records and outdated info

Automatically update fields from verified external sources

Maintains a clean, high-quality CRM database

Supports better segmentation and targeting

6. Workflow Automation Across Departments

Automates repetitive tasks like task assignments, follow-ups, and alerts

Links CRM actions with ERP, HR, or ticketing systems

Keeps all teams aligned without manual intervention

Custom CRM solutions can integrate automation tailored to your exact process

7. Voice and Natural Language Processing (NLP)

Transcribes sales calls and highlights key insights

Enables voice-driven commands within CRM platforms

Extracts data from emails or chat for automatic entry

Enhances productivity for on-the-go users

[stuarttechnologybob]

Elevate Customer Service with ServiceNow CSM.

ServiceNow CSM Implementation Services

Delivering an exceptional set of customer service is key towards business success, and ServiceNow Customer Service Management (CSM) makes it easier. ServiceNow CSM helps businesses offer faster, more efficient, and seamless customer experiences by automating tasks, reducing wait times, and providing AI-driven support.

How ServiceNow CSM Transforms Customer Service?

1. Faster and Reliable Support -

ServiceNow Customer service streamlines and simplifies the customer requests automatically by assigning them to the right agents and concerned officials. This assures to get quick responses and faster issue resolution leading towards higher customer satisfaction and user retention with ease operations.

2. AI Chatbots for Instant Assistance -

With the help of AI-powered ServiceNow chatbot, customers get 24/7 assistance without waiting for the human agent or need to look out for executive assistance. These chatbot or virtual agents handle the common inquiries, guide users to solutions, and escalate complex issues when needed.

3. Self-Service Options for Customers -

A self-service portal medium grants the customers to find answers through FAQs and knowledge based articles and troubleshooting guide. This empowers the users to resolve issues on their own by lowering the need for live support assistance as a self assessment options for the users.

4. Smart Case and Issue Management -

Customer issues are logged, categorized, and tracked efficiently. Automated and simplified workflows assure that every case reaches and meets the right team for quick and effective resolution with its smooth implementation into the system infrastructure.

5. Automation to Reduce Manual Effort -

ServiceNow automates the number of repetitive tasks like ticket routing, status updates, and follow-ups with its adaptation. This not only speeds up the service delivery but also frees up agents to handle more complex problems.

6. Real-Time Analytics for Better Decision-Making -

With built-in reporting and data analytics insights provision, businesses can track down their performance, identify the service trends, and optimize their processes for continuous improvement and up scaling their efficiency with simple operating proceedings and decision.

7. Seamless Integration with Business Systems -

ServiceNow Customer Service platform connects and merges with CRM, ERP and other day to day out processing tool, assuring for smooth data flow across all the departments of the organization. This integration enhances collaboration and enables personalized customer interactions.

8. Proactive Customer Support -

AI-driven predictive analytics insights assist businesses in detecting potential threat issues before they escalate or move ahead. This proactive approach of ServiceNow CSM improves and aids the customer relationships and builds trust with the company.

Using or opting for ServiceNow CSM Implementation can transform your customer service experience to the next level. Companies like Suma Soft, IBM, Cyntexa, and Cignex can help set up and customize the platform easily. Their expertise ensures you get the best results from the ServiceNow CSM platform.

Elevate your customer support with the right tools and expert help!

[nividawebsolutions]

Future of ERP Software in India – Trends to Watch in 2025

As we approach the midpoint of this transformative decade, businesses across India are more reliant than ever on advanced technological solutions to stay competitive and agile. Among these, Enterprise Resource Planning (ERP) software continues to evolve rapidly, becoming an indispensable tool for enterprises aiming to streamline operations, enhance efficiency, and drive strategic growth. At Nivida Software, recognised among the Best ERP software providers in Vadodara and widely trusted as one of the Best ERP software providers in Gujarat, we consistently strive to keep ahead of industry shifts and emerging technologies. Today, we're exploring the pivotal trends set to shape the future of ERP software in India in 2025.

1.  AI-Powered Predictive Analytics:

Artificial intelligence is no longer merely a concept from the distant future; rather, it is increasingly becoming the foundation of enterprise resource planning software. As of the year 2025, predictive analytics that is powered by artificial intelligence will have become the norm, making it possible for Indian enterprises to foresee market swings, consumer behaviour, and internal operational disturbances in advance. With the use of powerful predictive analytics, enterprise resource planning (ERP) systems will enable businesses to make decisions in real-time that are well-informed, thereby minimising risks and increasing profits.

2.  Increased Cloud Adoption:

Cloud technology, already integral to ERP solutions, will witness unprecedented adoption rates. The ease of deployment, scalability, and cost-effectiveness of cloud-based ERP software makes it highly attractive, especially for SMEs in India. As one of the Best ERP software providers in India, Nivida Software anticipates that by 2025, the majority of Indian enterprises, regardless of size, will leverage cloud ERP solutions to stay agile, innovative, and resilient.

3.  Customisation and Personalisation:

One-size-fits-all solutions are quickly becoming outmoded, and customisation and personalisation are becoming increasingly important. By the year 2025, enterprise resource planning (ERP) systems will primarily lean towards customised customisation, which will provide features and functionalities that are suited to the specific requirements of each company. The implementation of this change will result in increased flexibility, which will enable businesses in Vadodara, Gujarat, and throughout India to make the most of their ERP investments in terms of both efficacy and applicability.

4.  Enhanced Mobile Accessibility:

Given that India is expected to have more than 900 million mobile users by the year 2025, enterprise resource planning software needs to become mobile-friendly in a smooth manner. Increasingly, enterprise resource planning (ERP) suppliers will emphasize mobile-first designs, which will enable employees to access essential data and capabilities from any location and at any time. Because of this accessibility, productivity and response time will be significantly improved, both of which are crucial characteristics in the fast-paced business scene of today.

5.  Integration with IoT:

The Internet of Things (IoT) will have a significant influence on the future of enterprise resource planning (ERP) systems in India. With the help of Internet of Things integration, organisations can collect data in real-time from a wide variety of devices and gear, and then feed that data directly into ERP platforms for immediate analysis and action. This trend is going to transform industries such as agriculture, manufacturing, and logistics by making operations more transparent, efficient, and responsive. For example, manufacturing will be revolutionised.

6.  Blockchain-Enabled ERP Systems:

Security, transparency, and traceability are increasingly vital in an interconnected business environment. Blockchain integration in ERP software will play a significant role in addressing these needs. By 2025, we expect blockchain to become a central component within ERP solutions, offering enhanced data security, fraud prevention, and improved transparency across supply chains, particularly in sectors such as pharmaceuticals, finance, and agriculture.

7.  Sustainability and Environmental Compliance:

Environmental sustainability and regulatory compliance are becoming non-negotiable priorities globally, and India is no exception. Future ERP systems will actively support businesses in tracking, managing, and reporting their environmental footprints and compliance requirements. ERP solutions will thus become crucial tools for enterprises to stay compliant, reduce environmental impact, and maintain market reputation.

8.  Advanced User Experience (UX):

Gone are the days when ERP systems were complicated and cumbersome. In the coming years, user experience will be front and centre. ERP solutions will incorporate intuitive interfaces, simplified navigation, and engaging visual dashboards, making complex data accessible and actionable even for non-technical employees. At Nivida Software, we are already pioneering such advancements, reinforcing our position as one of the Best ERP software providers in Gujarat.

9.  Real-time Data Processing and Reporting:

By 2025, ERP software will fully transition into real-time data processing systems. Businesses will no longer rely on batch processing or delayed reports. Real-time analytics and instantaneous reporting capabilities will become standard, allowing enterprises to react swiftly to changing market dynamics, operational issues, and emerging opportunities.

10.              Increasing Focus on Data Privacy and Security:

With data becoming an invaluable asset, concerns regarding its privacy and security continue to rise. Future ERP systems will incorporate advanced cybersecurity measures and rigorous data protection protocols. Providers who prioritise security and privacy will lead the industry, building trust among their clientele.

Closing Thoughts:

The future of ERP software in India is bright, with advancements promising unprecedented opportunities for growth, innovation, and efficiency. By embracing AI, cloud technology, customisation, mobile accessibility, IoT, blockchain, sustainability measures, enhanced UX, real-time processing, and stringent data security, businesses across Vadodara, Gujarat, and India will unlock new potential for success.

At Nivida Software, recognised consistently as one of the Best ERP software providers in India, we’re committed to helping enterprises navigate these exciting transformations. By continually evolving our offerings, staying ahead of trends, and addressing emerging business challenges, we strive to empower our clients with cutting-edge ERP solutions. The future is here, and it’s smart, secure, and sustainable. Welcome to the ERP landscape of 2025.