#and distribution software

[giftdubaionline]

COMMON CHALLENGES FACED BY VAN SALE BUSINESS OWNERS

Van Sale Business Owners May Face Various Difficulties, Including

1.INVENTORY MANAGEMENT:

Keeping track of goods in a van selling business can be difficult. Effective inventory management procedures are necessary to monitor stock levels, ensure product freshness or expiration dates, and reduce stockouts or overstocking.

2. LIMITED SPACE:

Vans have limited space compared to traditional brick-and-mortar stores. It can be challenging to display and organize products effectively, especially if there is a wide range of items. Ensuring that products are easily accessible and well-presented in the limited space available is crucial.

3. PAYMENT PROCESSING:

Processing payments in a van sale business can be difficult, especially if it relies on cash transactions. Handling cash safely, managing change, and maintaining accurate records can all be difficult. Additionally, accepting electronic payments may require the necessary equipment or pos software integration.

4. CONNECTIVITY AND TECHNOLOGY:

Van sales companies are frequently located in places with poor or inconsistent internet access. This can have an impact on the use of POS systems, inventory management software, and other technological solutions that rely on a consistent internet connection. It becomes necessary to find solutions or incorporate offline functionality.

One solution for van sale businesses operating in areas with poor internet connectivity is to utilize offline POS systems. These systems are designed to function without a constant internet connection, allowing sales transactions and inventory management to continue uninterrupted.

Online POS systems offer several advantages for van sale businesses. They provide centralized data storage, allowing access to real-time sales information, inventory updates, and customer data from any location with an internet connection. This enhances efficiency and enables businesses to make data-driven decisions based on up-to-date information.

5. CUSTOMER ENGAGEMENT:

Engaging with customers effectively during van visits can be challenging. Limited time, distractions, and other factors can make it difficult to build strong customer relationships or provide personalized service. Finding ways to effectively communicate product information, promotions, and brand messaging within a short interaction window can be a hurdle.

6. COMPETITION:

For every business competition prevails to face competition from other mobile vendors, stores, and online retailers. Differentiating the business, identifying unique selling points, and staying ahead in terms of product selling, pricing, and customer experience are constant challenges.

7. REGULATORY COMPLIANCE:

Van sale businesses have to follow various regulations abid by the government, including those related to food safety, health and safety standards, permits, and licenses. Staying updated with relevant regulations, ensuring compliance, and managing associated documents and inspections can be time-consuming and demanding.Overcoming these challenges requires careful planning, effective operational strategies, leveraging technology solutions, and staying adaptable to evolving market conditions.

[kreetzel]

freebsd: the power to serve CUNT!

[queen-mabs-revenge]

ok the second last chapter was the best one because in fairness it actually did address encoded biases in both generative and predictive AI datasets and violent outcomes for oppressed groups in policing, healthcare, resource distribution, etc. and it did make mention of the horrific exploitation of workers in the neocolonial world in cleaning datasets, moderating virtual spaces, tagging, transcribing, and other digital sweatshop work.

but the problem is that the solutions offered are more women in STEM and better regulations... with the end goal always always always of accepting and facilitating the existence and forward motion of these technologies, just with more equitable working conditions and outcomes. early in the book, there's a great aside about how generative AI being used for new forms of image based sexual abuse causes incredible harm to those who experience misogyny and also is gobbling up energy and water at exponential rates to do so. but that environmental angle gets a few sentences and is never spoken of again in favour of boosting a kinder, more inclusive inevitable AI inundated future.

but like — the assumption that these technologies are both inevitable and reformable makes all the solutions offered untethered and idealistic!

profit is mentioned throughout the book, but the system of profit generation isn't mentioned by name once. so the problems of some machine learning systems get attributed to patriarchy and profit as if those two things are separate and ahistorical, instead of products of class society with its most recent expression in capitalism.

but yeah I mean it's not presenting itself as a Marxist analysis of AI and gendered violence so I know I'm asking it to do things it was never setting out to do. but still, it's wild how when you start to criticise technology as having class character it becomes glaring how few critiques of AI, both generative and predictive, are brave enough to actual state the obvious conclusions: not all technology can be harnessed to help the collective working class. some technology is at its root created to be harmful to the collective wellbeing of the working class and the natural ecosystems we are in and of.

technology isn't inherently agnostic. it isn't neutral and then progressive if harnessed correctly, and that idealist vision is only going to throw the people and entities capitalism most exploits into the furnace of the steam engine powering the technocapitalist death drive.

you can't build a future without misogyny using tools designed to capitalise on increasingly granular data gathered from ever-increasing tools of surveillance, to black-box algorithmic substitutions for human interaction and knowledge, to predate on marginalised communities to privatise and destroy their natural resources and public services, and to function on exploited labour of unending exposure to the most traumatising and community-destroying content. and we have to be ruthless in our analysis to determine which AI technologies are designed and reliant on those structures — because not all are!

you have to be brave enough to go through all that analysis and say the thing: if we want a future of technological progress that is actually free from misogyny, we can't build it with those tools that are built by and for the capitalist class and are inextricable from their interests and the oppression of other groups of people that capitalism needs to perpetuate.

some technology is not fit for purpose if our purpose is collective liberation.

[blubberquark]

Share Your Anecdotes: Multicore Pessimisation

I took a look at the specs of new 7000 series Threadripper CPUs, and I really don't have any excuse to buy one, even if I had the money to spare. I thought long and hard about different workloads, but nothing came to mind.

Back in university, we had courses about map/reduce clusters, and I experimented with parallel interpreters for Prolog, and distributed computing systems. What I learned is that the potential performance gains from better data structures and algorithms trump the performance gains from fancy hardware, and that there is more to be gained from using the GPU or from re-writing the performance-critical sections in C and making sure your data structures take up less memory than from multi-threaded code. Of course, all this is especially important when you are working in pure Python, because of the GIL.

The performance penalty of parallelisation hits even harder when you try to distribute your computation between different computers over the network, and the overhead of serialisation, communication, and scheduling work can easily exceed the gains of parallel computation, especially for small to medium workloads. If you benchmark your Hadoop cluster on a toy problem, you may well find that it's faster to solve your toy problem on one desktop PC than a whole cluster, because it's a toy problem, and the gains only kick in when your data set is too big to fit on a single computer.

The new Threadripper got me thinking: Has this happened to somebody with just a multicore CPU? Is there software that performs better with 2 cores than with just one, and better with 4 cores than with 2, but substantially worse with 64? It could happen! Deadlocks, livelocks, weird inter-process communication issues where you have one process per core and every one of the 64 processes communicates with the other 63 via pipes? There could be software that has a badly optimised main thread, or a badly optimised work unit scheduler, and the limiting factor is single-thread performance of that scheduler that needs to distribute and integrate work units for 64 threads, to the point where the worker threads are mostly idling and only one core is at 100%.

I am not trying to blame any programmer if this happens. Most likely such software was developed back when quad-core CPUs were a new thing, or even back when there were multi-CPU-socket mainboards, and the developer never imagined that one day there would be Threadrippers on the consumer market. Programs from back then, built for Windows XP, could still run on Windows 10 or 11.

In spite of all this, I suspect that this kind of problem is quite rare in practice. It requires software that spawns one thread or one process per core, but which is deoptimised for more cores, maybe written under the assumption that users have for two to six CPU cores, a user who can afford a Threadripper, and needs a Threadripper, and a workload where the problem is noticeable. You wouldn't get a Threadripper in the first place if it made your workflows slower, so that hypothetical user probably has one main workload that really benefits from the many cores, and another that doesn't.

So, has this happened to you? Dou you have a Threadripper at work? Do you work in bioinformatics or visual effects? Do you encode a lot of video? Do you know a guy who does? Do you own a Threadripper or an Ampere just for the hell of it? Or have you tried to build a Hadoop/Beowulf/OpenMP cluster, only to have your code run slower?

I would love to hear from you.

[magtecbusinesssolutions]

Tired of paper piles? 🚫 Go paperless with Magtec ERP Software! 💻 Streamline your workflow and boost efficiency. It's time to embrace the digital future.

[garden-gates]

Telltale Games | Strong Bad's Cool Game For Attractive People install wizards for demos of episodes 4 and 5

[sigzentechnologies]

Optimize Your Ceramic & Faucets Business with ERPNext Solutions by Sigzen

ERPNext offers an ideal solution for businesses in the ceramics and faucets industry, delivering a tailored, robust platform designed to streamline various operational processes. This powerful ERP software facilitates seamless management of inventory, production, sales, and procurement, while also providing comprehensive financial management tools. Its ability to integrate and automate these key…

[shapoopy178]

Jfc Windows, forced updates are one thing but unannounced forced updates that automatically install and reboot my computer overnight are something else entirely, like actively hostile to the user. I frequently leave calculations running overnight when I leave the office so that they're done when I get back in the morning, but now I can't trust my computer to not shut itself down and kill the calculation. Clown shoes operating system.

[realbadatpoker]

I'm a software developer and there's an incredibly insightful parallel to distributed computing design here that I don't feel like drawing out too much, but basically it's 10,000x simpler to just have a bagillion copies of the same simple computer that you spend a lot of time making real good (like doing single arrow shots) than trying to make one really complicated extra powerful computer that does all the work in one place (like shooting three arrows at once).

We’ve been here before, but I have a new technique this time!!

Please support these videos on Patreon if you can!

[bhagyashri123]

Power Up Your FMCG Brand with Smart Software | BETs FMCG Suite

Accelerate growth with BETs FMCG Software – built to simplify your sales, distribution, inventory, production, and franchise operations. Designed for fast-moving consumer goods brands, our platform ensures real-time visibility, mobile-enabled control, and data-driven decision-making. 💡 Modular | 📲 Mobile App Ecosystem | 📈 Business Insights Ideal for snacks, beverages, dairy, personal care, and more. ✨ Automate. Integrate. Grow.

[zylemseo]

Every finished product embarks on a journey the moment it leaves the factory gate. After the primary sale, it passes through multiple hands—distributors, wholesalers, and retailers—before reaching the end customer. Along this path, a rich stream of transactional data is generated: which SKUs sell fastest, where stock is stuck, and which territories consistently deliver volume.

Yet for many businesses, this data remains hidden or fragmented.

The result? Secondary sales tracking becomes reactive, siloed, and often too late to act upon. Decision-makers rely on estimates instead of evidence. Inventory piles up where it’s not needed and runs out where it is. Finance teams, left to reconcile mismatched records, struggle to close books cleanly.

That’s the blind spot Zylem is designed to eliminate.

[surfeitoflampreys]

oh, #bsd is trending today?

better join in!

[zonotrichia-albicollis]

Gonna build a time machine specifically to go back and force them to just call it some other scary math term instead of using terms like “intelligent”, “learning”, “neural”

My job is also iteratively approaching a more accurate answer based on large amounts of data but instead of AI the method is bogged down in stats terms and opaque acronyms so we’re safe from the venture capitalists.

(Source)

[logicerp]

In the fast-moving consumer goods (FMCG) industry, managing expiry dates, tracking batches, and maintaining regulatory compliance are mission-critical for ensuring product safety and building consumer trust. LOGIC ERP FMCG software offers real-time visibility, automation, and control to help businesses track perishable inventory, streamline recall processes, and stay compliant with government standards.

[wseinfratech]

Monolithic vs Microservices — What Should You Build

Choosing the wrong architecture too early can cost you years of tech debt! Not every product needs microservices Not every startup should start monolithic Let’s break it down :- ❓When will you need Monolithic architecture? Monolith is focused, fast, and manageable ✅ You’re building an MVP or early-stage product ✅ Your app is simple, with tightly coupled features ✅ You need to launch quickly with a small dev team ✅ Deployment speed matters more than modularity ❓When will you need Microservices? Microservices are scalable, flexible, and complex ✅ You’ve scaled and need feature-specific deployments ✅ Your teams work on different modules in parallel ✅ You want fault isolation and independent scaling ✅ Continuous deployment and DevOps are in place ⚠️ Don’t follow trends. Follow your product’s stage and your team's capability. Get expert guidance tailored to your tech stack and business goals. Call - +91 9073754444 or book a FREE consultation - https://wseinfratech.com/book-a-free-consultation