#automation for accountants

[suvitfintech]

Expanding your business to multiple locations can be a great way to increase sales, reach new customers, and grow your brand. However, it can also be a challenge to manage multiple locations effectively. Suvit is an all-in-one accounting automation platform that strives to make finance cool again! Suvit is more than just a platform; it's a financial game-changer.

[mostlysignssomeportents]

AI can’t do your job

I'm on a 20+ city book tour for my new novel PICKS AND SHOVELS. Catch me in SAN DIEGO at MYSTERIOUS GALAXY on Mar 24, and in CHICAGO with PETER SAGAL on Apr 2. More tour dates here.

AI can't do your job, but an AI salesman (Elon Musk) can convince your boss (the USA) to fire you and replace you (a federal worker) with a chatbot that can't do your job:

https://www.pcmag.com/news/amid-job-cuts-doge-accelerates-rollout-of-ai-tool-to-automate-government

If you pay attention to the hype, you'd think that all the action on "AI" (an incoherent grab-bag of only marginally related technologies) was in generating text and images. Man, is that ever wrong. The AI hype machine could put every commercial illustrator alive on the breadline and the savings wouldn't pay the kombucha budget for the million-dollar-a-year techies who oversaw Dall-E's training run. The commercial market for automated email summaries is likewise infinitesimal.

The fact that CEOs overestimate the size of this market is easy to understand, since "CEO" is the most laptop job of all laptop jobs. Having a chatbot summarize the boss's email is the 2025 equivalent of the 2000s gag about the boss whose secretary printed out the boss's email and put it in his in-tray so he could go over it with a red pen and then dictate his reply.

The smart AI money is long on "decision support," whereby a statistical inference engine suggests to a human being what decision they should make. There's bots that are supposed to diagnose tumors, bots that are supposed to make neutral bail and parole decisions, bots that are supposed to evaluate student essays, resumes and loan applications.

The narrative around these bots is that they are there to help humans. In this story, the hospital buys a radiology bot that offers a second opinion to the human radiologist. If they disagree, the human radiologist takes another look. In this tale, AI is a way for hospitals to make fewer mistakes by spending more money. An AI assisted radiologist is less productive (because they re-run some x-rays to resolve disagreements with the bot) but more accurate.

In automation theory jargon, this radiologist is a "centaur" – a human head grafted onto the tireless, ever-vigilant body of a robot

Of course, no one who invests in an AI company expects this to happen. Instead, they want reverse-centaurs: a human who acts as an assistant to a robot. The real pitch to hospital is, "Fire all but one of your radiologists and then put that poor bastard to work reviewing the judgments our robot makes at machine scale."

No one seriously thinks that the reverse-centaur radiologist will be able to maintain perfect vigilance over long shifts of supervising automated process that rarely go wrong, but when they do, the error must be caught:

https://pluralistic.net/2024/04/01/human-in-the-loop/#monkey-in-the-middle

The role of this "human in the loop" isn't to prevent errors. That human's is there to be blamed for errors:

https://pluralistic.net/2024/10/30/a-neck-in-a-noose/#is-also-a-human-in-the-loop

The human is there to be a "moral crumple zone":

https://estsjournal.org/index.php/ests/article/view/260

The human is there to be an "accountability sink":

https://profilebooks.com/work/the-unaccountability-machine/

But they're not there to be radiologists.

This is bad enough when we're talking about radiology, but it's even worse in government contexts, where the bots are deciding who gets Medicare, who gets food stamps, who gets VA benefits, who gets a visa, who gets indicted, who gets bail, and who gets parole.

That's because statistical inference is intrinsically conservative: an AI predicts the future by looking at its data about the past, and when that prediction is also an automated decision, fed to a Chaplinesque reverse-centaur trying to keep pace with a torrent of machine judgments, the prediction becomes a directive, and thus a self-fulfilling prophecy:

https://pluralistic.net/2023/03/09/autocomplete-worshippers/#the-real-ai-was-the-corporations-that-we-fought-along-the-way

AIs want the future to be like the past, and AIs make the future like the past. If the training data is full of human bias, then the predictions will also be full of human bias, and then the outcomes will be full of human bias, and when those outcomes are copraphagically fed back into the training data, you get new, highly concentrated human/machine bias:

https://pluralistic.net/2024/03/14/inhuman-centipede/#enshittibottification

By firing skilled human workers and replacing them with spicy autocomplete, Musk is assuming his final form as both the kind of boss who can be conned into replacing you with a defective chatbot and as the fast-talking sales rep who cons your boss. Musk is transforming key government functions into high-speed error-generating machines whose human minders are only the payroll to take the fall for the coming tsunami of robot fuckups.

This is the equivalent to filling the American government's walls with asbestos, turning agencies into hazmat zones that we can't touch without causing thousands to sicken and die:

https://pluralistic.net/2021/08/19/failure-cascades/#dirty-data

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2025/03/18/asbestos-in-the-walls/#government-by-spicy-autocomplete

Image: Krd (modified) https://commons.wikimedia.org/wiki/File:DASA_01.jpg

CC BY-SA 3.0 https://creativecommons.org/licenses/by-sa/3.0/deed.en

--

Cryteria (modified) https://commons.wikimedia.org/wiki/File:HAL9000.svg

CC BY 3.0 https://creativecommons.org/licenses/by/3.0/deed.en

[greyias]

Got hit with three of those damn ask spams this morning, so unfortunately the askbox is closed for a little bit.

[atlas-jack]

'you know you can do this on the app/on our website, right?' THEN WHAT ARE YOU HERE FOR!!!!!!! i called you or came in because i wanted help!!!!!! why are you employed if everything is meant to be done online!!!!!!!! what do you mean you cant help me open a bank account????

[stjohnstarling]

Several years later, Facebook has been overrun by AI-generated spam and outright scams. Many of the “people” engaging with this content are bots who themselves spam the platform. Porn and nonconsensual imagery is easy to find on Facebook and Instagram. We have reported endlessly on the proliferation of paid advertisements for drugs, stolen credit cards, hacked accounts, and ads for electricians and roofers who appear to be soliciting potential customers with sex work. Its own verified influencers have their bodies regularly stolen by “AI influencers” in the service of promoting OnlyFans pages also full of stolen content. …

Experts I spoke to who once had great insight into how Facebook makes its decisions say that they no longer know what is happening at the platform … “I believe we're in a time of experimentation where platforms are willing to gamble and roll the dice and say, ‘How little content moderation can we get away with?,'” Sarah T. Roberts, a UCLA professor and author of Behind the Screen: Content Moderation in the Shadows of Social Media, told me.

Very good and troubling article. If Meta - one of the richest companies in the world - is giving up on moderation, what does it mean for the dying, cash-strapped website we’re all on?

[teratocrat]

i was so mad and i continue to be mad when the muskrat rolled out his utterly pointless and counterproductive 'anti-bot measures' on twitter bc it killed the account i was following that would just post a different wolf picture every hour. the people DESERVE their hourly wolf !!!!!

[boop-le-snoot]

I am once again begging people to at least backsearch the images on “fundraisers” they are reposting before sending strangers money

[manmishra]

🚀 Explore how AI can transform your B2B marketing strategy! Discover actionable tactics to enhance buyer engagement and create personalized experiences. Dive into AI-driven buyer-centric strategies today! #B2BMarketing #AI #BuyerEngagement #DigitalMarketing

[windrunner]

was wondering why i suddenly saw less and less nature photography, and it turns out THREE of my fav photography blogs deleted....... fuck this earth 🚬

[pyretta666]

i’m back from the dead. if tumblr decides to send me to gallows hill again, my backup is @pyretta1313

[suvitfintech]

Mastering Financial Insights: Understanding Tally Balance Sheet

When it comes to managing your finances, understanding where your business stands is super important. It's like taking a snapshot of your company's money matters at a specific time. The Tally balance sheet is one of the most critical financial statements for any business. It provides a snapshot of a company's financial position at a given moment in time, showing its assets, liabilities, and shareholders' equity. The balance sheet is prepared using the fundamental accounting equation, which states that Assets = Liabilities + Shareholders' Equity. For more details, visit us at https://www.suvit.io/

[mostlysignssomeportents]

AI’s productivity theater

Support me this summer on the Clarion Write-A-Thon and help raise money for the Clarion Science Fiction and Fantasy Writers' Workshop!

When I took my kid to New Zealand with me on a book-tour, I was delighted to learn that grocery stores had special aisles where all the kids'-eye-level candy had been removed, to minimize nagging. What a great idea!

Related: countries around the world limit advertising to children, for two reasons:

1) Kids may not be stupid, but they are inexperienced, and that makes them gullible; and

2) Kids don't have money of their own, so their path to getting the stuff they see in ads is nagging their parents, which creates a natural constituency to support limits on kids' advertising (nagged parents).

There's something especially annoying about ads targeted at getting credulous people to coerce or torment other people on behalf of the advertiser. For example, AI companies spent millions targeting your boss in an effort to convince them that you can be replaced with a chatbot that absolutely, positively cannot do your job.

Your boss has no idea what your job entails, and is (not so) secretly convinced that you're a featherbedding parasite who only shows up for work because you fear the breadline, and not because your job is a) challenging, or b) rewarding:

https://pluralistic.net/2024/04/19/make-them-afraid/#fear-is-their-mind-killer

That makes them prime marks for chatbot-peddling AI pitchmen. Your boss would love to fire you and replace you with a chatbot. Chatbots don't unionize, they don't backtalk about stupid orders, and they don't experience any inconvenient moral injury when ordered to enshittify the product:

https://pluralistic.net/2023/11/25/moral-injury/#enshittification

Bosses are Bizarro-world Marxists. Like Marxists, your boss's worldview is organized around the principle that every dollar you take home in wages is a dollar that isn't available for executive bonuses, stock buybacks or dividends. That's why you boss is insatiably horny for firing you and replacing you with software. Software is cheaper, and it doesn't advocate for higher wages.

That makes your boss such an easy mark for AI pitchmen, which explains the vast gap between the valuation of AI companies and the utility of AI to the customers that buy those companies' products. As an investor, buying shares in AI might represent a bet the usefulness of AI – but for many of those investors, backing an AI company is actually a bet on your boss's credulity and contempt for you and your job.

But bosses' resemblance to toddlers doesn't end with their credulity. A toddler's path to getting that eye-height candy-bar goes through their exhausted parents. Your boss's path to realizing the productivity gains promised by an AI salesman runs through you.

A new research report from the Upwork Research Institute offers a look into the bizarre situation unfolding in workplaces where bosses have been conned into buying AI and now face the challenge of getting it to work as advertised:

https://www.upwork.com/research/ai-enhanced-work-models

The headline findings tell the whole story:

96% of bosses expect that AI will make their workers more productive;

85% of companies are either requiring or strongly encouraging workers to use AI;

49% of workers have no idea how AI is supposed to increase their productivity;

77% of workers say using AI decreases their productivity.

Working at an AI-equipped workplaces is like being the parent of a furious toddler who has bought a million Sea Monkey farms off the back page of a comic book, and is now destroying your life with demands that you figure out how to get the brine shrimp he ordered from a notorious Holocaust denier to wear little crowns like they do in the ad:

https://www.splcenter.org/fighting-hate/intelligence-report/2004/hitler-and-sea-monkeys

Bosses spend a lot of time thinking about your productivity. The "productivity paradox" shows a rapid, persistent decline in American worker productivity, starting in the 1970s and continuing to this day:

https://en.wikipedia.org/wiki/Productivity_paradox

The "paradox" refers to the growth of IT, which is sold as a productivity-increasing miracle. There are many theories to explain this paradox. One especially good theory came from the late David Graeber (rest in power), in his 2012 essay, "Of Flying Cars and the Declining Rate of Profit":

https://thebaffler.com/salvos/of-flying-cars-and-the-declining-rate-of-profit

Graeber proposes that the growth of IT was part of a wider shift in research approaches. Research was once dominated by weirdos (e.g. Jack Parsons, Oppenheimer, etc) who operated with relatively little red tape. The rise of IT coincides with the rise of "managerialism," the McKinseyoid drive to monitor, quantify and – above all – discipline the workforce. IT made it easier to generate these records, which also made it normal to expect these records.

Before long, every employee – including the "creatives" whose ideas were credited with the productivity gains of the American century until the 70s – was spending a huge amount of time (sometimes the majority of their working days) filling in forms, documenting their work, and generally producing a legible account of their day's work. All this data gave rise to a ballooning class of managers, who colonized every kind of institution – not just corporations, but also universities and government agencies, which were structured to resemble corporations (down to referring to voters or students as "customers").

Even if you think all that record-keeping might be useful, there's no denying that the more time you spend documenting your work, the less time you have to do your work. The solution to this was inevitably more IT, sold as a way to make the record-keeping easier. But adding IT to a bureaucracy is like adding lanes to a highway: the easier it is to demand fine-grained record-keeping, the more record-keeping will be demanded of you.

But that's not all that IT did for the workplace. There are a couple areas in which IT absolutely increased the profitability of the companies that invested in it.

First, IT allowed corporations to outsource production to low-waged countries in the global south, usually places with worse labor protection, weaker environmental laws, and easily bribed regulators. It's really hard to produce things in factories thousands of miles away, or to oversee remote workers in another country. But IT makes it possible to annihilate distance, time zone gaps, and language barriers. Corporations that figured out how to use IT to fire workers at home and exploit workers and despoil the environment in distant lands thrived. Executives who oversaw these projects rose through the ranks. For example, Tim Cook became the CEO of Apple thanks to his successes in moving production out of the USA and into China.

https://archive.is/M17qq

Outsourcing provided a sugar high that compensated for declining productivity…for a while. But eventually, all the gains to be had from outsourcing were realized, and companies needed a new source of cheap gains. That's where "bossware" came in: the automation of workforce monitoring and discipline. Bossware made it possible to monitor workers at the finest-grained levels, measuring everything from keystrokes to eyeball movements.

What's more, the declining power of the American worker – a nice bonus of the project to fire huge numbers of workers and ship their jobs overseas, which made the remainder terrified of losing their jobs and thus willing to eat a rasher of shit and ask for seconds – meant that bossware could be used to tie wages to metrics. It's not just gig workers who don't score consistent five star ratings from app users whose pay gets docked – it's also creative workers whose Youtube and Tiktok wages are cut for violating rules that they aren't allowed to know, because that might help them break the rules without being detected and punished:

https://pluralistic.net/2024/01/13/solidarity-forever/#tech-unions

Bossware dominates workplaces from public schools to hospitals, restaurants to call centers, and extends to your home and car, if you're working from home (AKA "living at work") or driving for Uber or Amazon:

https://pluralistic.net/2020/10/02/chickenized-by-arise/#arise

In providing a pretense for stealing wages, IT can increase profits, even as it reduces productivity:

https://pluralistic.net/2024/01/11/robots-stole-my-jerb/#computer-says-no

One way to think about how this works is through the automation-theory metaphor of a "centaur" and a "reverse centaur." In automation circles, a "centaur" is someone who is assisted by an automation tool – for example, when your boss uses AI to monitor your eyeballs in order to find excuses to steal your wages, they are a centaur, a human head atop a machine body that does all the hard work, far in excess of any human's capacity.

A "reverse centaur" is a worker who acts as an assistant to an automation system. The worker who is ridden by an AI that monitors their eyeballs, bathroom breaks, and keystrokes is a reverse centaur, being used (and eventually, used up) by a machine to perform the tasks that the machine can't perform unassisted:

https://pluralistic.net/2023/04/12/algorithmic-wage-discrimination/#fishers-of-men

But there's only so much work you can squeeze out of a human in this fashion before they are ruined for the job. Amazon's internal research reveals that the company has calculated that it ruins workers so quickly that it is in danger of using up every able-bodied worker in America:

https://www.vox.com/recode/23170900/leaked-amazon-memo-warehouses-hiring-shortage

Which explains the other major findings from the Upwork study:

81% of bosses have increased the demands they make on their workers over the past year; and

71% of workers are "burned out."

Bosses' answer to "AI making workers feel burned out" is the same as "IT-driven form-filling makes workers unproductive" – do more of the same, but go harder. Cisco has a new product that tries to detect when workers are about to snap after absorbing abuse from furious customers and then gives them a "Zen" moment in which they are showed a "soothing" photo of their family:

https://finance.yahoo.com/news/ai-bringing-zen-first-horizons-192010166.html

This is just the latest in a series of increasingly sweaty and cruel "workplace wellness" technologies that spy on workers and try to help them "manage their stress," all of which have the (totally predictable) effect of increasing workplace stress:

https://pluralistic.net/2024/03/15/wellness-taylorism/#sick-of-spying

The only person who wouldn't predict that being closely monitored by an AI that snitches on you to your boss would increase your stress levels is your boss. Unfortunately for you, AI pitchmen know this, too, and they're more than happy to sell your boss the reverse-centaur automation tool that makes you want to die, and then sell your boss another automation tool that is supposed to restore your will to live.

The "productivity paradox" is being resolved before our eyes. American per-worker productivity fell because it was more profitable to ship American jobs to regulatory free-fire zones and exploit the resulting precarity to abuse the workers left onshore. Workers who resented this arrangement were condemned for having a shitty "work ethic" – even as the number of hours worked by the average US worker rose by 13% between 1976 and 2016:

https://pluralistic.net/2024/01/11/robots-stole-my-jerb/#computer-says-no

AI is just a successor gimmick at the terminal end of 40 years of increasing profits by taking them out of workers' hides rather than improving efficiency. That arrangement didn't come out of nowhere: it was a direct result of a Reagan-era theory of corporate power called "consumer welfare." Under the "consumer welfare" approach to antitrust, monopolies were encouraged, provided that they used their market power to lower wages and screw suppliers, while lowering costs to consumers.

"Consumer welfare" supposed that we could somehow separate our identities as "workers" from our identities as "shoppers" – that our stagnating wages and worsening conditions ceased mattering to us when we clocked out at 5PM (or, you know, 9PM) and bought a $0.99 Meal Deal at McDonald's whose low, low price was only possible because it was cooked by someone sleeping in their car and collecting food-stamps.

https://www.theguardian.com/us-news/article/2024/jul/20/disneyland-workers-anaheim-california-authorize-strike

But we're reaching the end of the road for consumer welfare. Sure, your toddler-boss can be tricked into buying AI and firing half of your co-workers and demanding that the remainder use AI to do their jobs. But if AI can't do their jobs (it can't), no amount of demanding that you figure out how to make the Sea Monkeys act like they did in the comic-book ad is doing to make that work.

As screwing workers and suppliers produces fewer and fewer gains, companies are increasingly turning on their customers. It's not just that you're getting worse service from chatbots or the humans who are reverse-centaured into their workflow. You're also paying more for that, as algorithmic surveillance pricing uses automation to gouge you on prices in realtime:

https://pluralistic.net/2024/07/24/gouging-the-all-seeing-eye/#i-spy

This is – in the memorable phrase of David Dayen and Lindsay Owens, the "age of recoupment," in which companies end their practice of splitting the gains from suppressing labor with their customers:

https://prospect.org/economy/2024-06-03-age-of-recoupment/

It's a bet that the tolerance for monopolies made these companies too big to fail, and that means they're too big to jail, so they can cheat their customers as well as their workers.

AI may be a bet that your boss can be suckered into buying a chatbot that can't do your job, but investors are souring on that bet. Goldman Sachs, who once trumpeted AI as a multi-trillion dollar sector with unlimited growth, is now publishing reports describing how companies who buy AI can't figure out what to do with it:

https://www.goldmansachs.com/intelligence/pages/gs-research/gen-ai-too-much-spend-too-little-benefit/report.pdf

Fine, investment banks are supposed to be a little conservative. But VCs? They're the ones with all the appetite for risk, right? Well, maybe so, but Sequoia Capital, a top-tier Silicon Valley VC, is also publicly questioning whether anyone will make AI investments pay off:

https://www.sequoiacap.com/article/ais-600b-question/

I can't tell you how great it was to take my kid down a grocery checkout aisle from which all the eye-level candy had been removed. Alas, I can't figure out how we keep the nation's executive toddlers from being dazzled by shiny AI pitches that leave us stuck with the consequences of their impulse purchases.

If you'd like an essay-formatted version of this post to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog:

https://pluralistic.net/2024/07/25/accountability-sinks/#work-harder-not-smarter

Image: Cryteria (modified) https://commons.wikimedia.org/wiki/File:HAL9000.svg

CC BY 3.0 https://creativecommons.org/licenses/by/3.0/deed.en

[jcmarchi]

Stackpack Secures $6.3M to Reinvent Vendor Management in an AI-Driven Business Landscape

New Post has been published on https://thedigitalinsider.com/stackpack-secures-6-3m-to-reinvent-vendor-management-in-an-ai-driven-business-landscape/

Stackpack Secures $6.3M to Reinvent Vendor Management in an AI-Driven Business Landscape

In a world where third-party tools, services, and contractors form the operational backbone of modern companies, Stackpack has raised $6.3 million to bring order to the growing complexity.

Led by Freestyle Capital, the funding round includes support from Elefund, Upside Partnership, Nomad Ventures, Layout Ventures, MSIV Fund, and strategic angels from Intuit, Workday, Affirm, Snapdocs, and xAI.

The funding supports Stackpack’s mission to redefine how businesses manage their expanding vendor networks—an increasingly vital task as organizations now juggle hundreds or even thousands of external partners and platforms.

Turning Chaos into Control

Founded in 2023 by Sara Wyman, formerly of Etsy and Affirm, Stackpack was built to solve a problem she knew too well: modern companies are powered by vendors, yet most still track them with outdated methods—spreadsheets, scattered documents, and guesswork. With SaaS stacks ballooning and AI tools proliferating, unmanaged vendors become silent liabilities.

“Companies call themselves ‘people-first,’ but in reality, they’re becoming ‘vendor-first,’” said Wyman. “There are often 6x more vendors than employees. Yet there’s no system of record to manage that shift—until now.”

Stackpack gives finance and IT teams a unified, AI-powered dashboard that provides real-time visibility into vendor contracts, spend, renewals, and compliance risks. The platform automatically extracts key contract terms like auto-renewal clauses, flags overlapping subscriptions, and even predicts upcoming renewals buried deep in PDFs.

AI That Works Like a Virtual Vendor Manager

Stackpack’s Behavioral AI Engine acts as an intelligent assistant, surfacing hidden cost-saving opportunities, compliance risks, and critical dates. It not only identifies inefficiencies—it takes action, issuing alerts, initiating workflows, and providing recommendations across the vendor lifecycle.

For instance:

Renewal alerts prevent surprise charges.

Spend tracking identifies underused or duplicate tools.

Contract intelligence extracts legal and pricing terms from uploads or integrations with tools like Google Drive.

Approval workflows streamline onboarding and procurement.

This brings the kind of automation once reserved for enterprise procurement platforms like Coupa or SAP to startups and mid-sized businesses—at a fraction of the cost.

A Timely Solution for a Growing Problem

Vendor management has become a boardroom issue. As more companies shift budgets from headcount to outsourced services, compliance and financial oversight have become harder to maintain. Stackpack’s early traction is proof of demand: just months after launch, it’s managing over 10,500 vendors and $510 million in spend across more than 50 customers, including Every Man Jack, Rho, Density, HouseRx, Fexa, and ZeroEyes.

“The CFO is the one left holding the bag when things go wrong,” said Brandon Lee, Accounting Manager at BizzyCar. “Stackpack means we don’t have to cross our fingers every quarter.”

Beyond Visibility: Enabling Smarter Vendor Decisions

Alongside its core platform, Stackpack is launching Requests & Approvals, a lightweight tool to simplify vendor onboarding and purchasing decisions—currently in beta. The feature is already attracting customers looking for faster, more agile alternatives to traditional procurement systems.

With a long-term vision to help companies not only manage but discover and evaluate vendors more strategically, Stackpack is laying the groundwork for a smarter, interconnected vendor ecosystem.

“Every vendor decision carries legal, financial, and security consequences,” said Dave Samuel, General Partner at Freestyle Capital. “Stackpack is building the intelligent infrastructure to manage these relationships proactively.”

The Future of Vendor Operations

As third-party ecosystems grow in size and complexity, Stackpack aims to transform vendor operations from a liability into a competitive advantage. Its AI-powered approach gives companies a modern operating system for vendor management—one that’s scalable, proactive, and deeply integrated into finance and operations.

“This isn’t just about cost control—it’s about running a smarter company,” said Wyman. “Managing your vendors should be as strategic as managing your talent. We’re giving companies the tools to make that possible.”

With fresh funding and a rapidly expanding customer base, Stackpack is poised to become the new standard for how modern businesses manage the partners powering their growth.

[moderngirlbleachers]

posted about the new superman film on twitter & got jumpscared by the official account mentioning me 30 seconds later

[coquicloud]

What is ERP and Why Your Small Business Needs It?

Running a small business is a challenging but rewarding endeavor. You wear many hats, juggle countless tasks, and constantly strive for growth. But as your business expands, managing everything with spreadsheets and disconnected software can become a major bottleneck. That's where Enterprise Resource Planning (ERP) systems come in.

What Exactly is an ERP?

Think of an ERP system as the central nervous system of your business. It's a type of software that integrates all your core business processes into a single, unified platform. This means your sales, inventory, accounting, human resources, and other departments can all access and share the same data in real-time.... Read More

[t-essell-remade]

I'm really disappointed that I haven't gotten any responses from tumblr about my wrongfully terminated account. It really makes me not want to come on here. Because maybe this account will also be terminated.