The Mess Behind the Dashboard: ERP Systems & You

There was a time when we downloaded bootleg music, movies, and video games. We consumed media without paying the artist, the publisher, or the platform. Today, we're entering a different era. Instead of downloading pirated entertainment, we're building bootleg applications.

AI has lowered the barrier to building software so dramatically that anyone with enough curiosity can create tools that would have required a development team just a few years ago. A recent episode of the Dime podcast explored AI's role in the industry, covering ERP systems, business scalability, and how AI is enabling individuals to build their own software.

Limewire

An ERP (Enterprise Resource Planning) system is software that connects the core parts of a business—inventory, purchasing, production, sales, accounting, and finance—into a single source of truth. At some point you absolutely need to know what it costs to produce a pack of gummies, where your inventory is, and whether your margins actually make sense.

The problem is that many businesses, not just those in this industry, aren't ready for that conversation. Many operators still struggle to find reliable distributors, consistent packaging vendors, or even someone who can print compliant labels on time. Standardized cost cards sound great until ingredient prices, regulations, or suppliers change every few weeks.

The goal is to eventually reach a place where you can confidently say, "We buy these materials from this supplier, at this price, on this schedule." Getting there too early can waste enormous resources. Getting there too late can feel like hearding kittens.

Streameast

The most entertaining—and uncomfortable—part of an ERP implementation is the discovery phase.

That's when every department head has to explain how work actually gets done instead of how it's documented. It's where years of workarounds, tribal knowledge, and inefficiencies finally get dragged into the light. And eventually when someone ask “why do we do it like that"?”, the answer is usually “because thats just how we always done it”

I remember discussing the production flow for a national line of gummies. Production would fill the drams, apply the product labels, box everything, palletize it, and send it to distribution calling it a finished good, it was not. Distribution would then unbox every case, create compliance sublots, apply state compliance labels, re-box everything, and finally ship it.

On paper, production looked like rocked stars while other departments absorbed the labor. It was also planned obsolescence, in a few months when the topic of labor and savings would come up, the director knew exactly where he would fine a solution, fixing the problem he designed.

Sportslemon

Almost every service provider at some point mentions how their software can eliminate positions, thats a red flag for me. In my experience using services like Oracle, Great Plains, and Sage X3; ERP systems don't replace people, but it can expose them.

When every department follows standardized processes, it's much easier to recognize waste, unnecessary rehandling, and poor management decisions. You hire your managers to trust that they are doing everything they can to be efficient, you tell them figure it out and most of them do, for themselves.

Thats how you end up with 20 software systems, and an IT stacks that rivals most airports.

Datpiff

AI has made it easier than ever for individuals to build solutions for themselves. That's exciting, but it also creates a familiar problem. Someone builds a spreadsheet, a script, or an AI workflow that solves today's problem. It works brilliantly. Then they leave.

Now the company owns another undocumented system that nobody understands. and now its even worse because its not even built on a system with a legacy of documentation or support. Its like building a custom hot rod and taking it to Firestone for service.

You invest in people, but people move on. Sometimes they simply find better opportunities. Sometimes they leave behind unfinished work. Sometimes they leave nothing but confusion. That doesnt work, so uou invest in software, but software only survives if people maintain it.

AI has made it to where you can build the tools you need yourself, but now your back to square one. Doing it all.

eBoot

One point from the podcast stood out. The guest was very clear about what they sell. If you want your data migrated into an ERP system, they're an option. If you want help figuring out how your business should operate before that migration, that's a completely different engagement for a different consultant.