MultiValue software in the age of generative AI

AI’s been making a lot of noise. Here’s how we’re tackling it at RDM.

By Brandon Robinson


Generative AI is a very big deal — and a bit of a black box. Everyone’s talking about it, but not everyone understands how it works or why it matters.

That’s especially true when it comes to MultiValue software.

When our customers talk about AI, what they really want is faster access to higher-quality data. So, how can AI help with that?

Let’s start by talking about what you don’t want from AI. You don’t want to staple a cookie-cutter AI widget onto your MultiValue system. That might look pretty, but it won’t do a thing for you. It’s a one-size-fits-all solution designed to solve somebody else’s problems.

The fact is, AI is only as effective as the data behind it. But with the right MultiValue partner, you can train AI to access the right data for each particular use case, then transform that data into actionable intelligence so your business can become more agile, efficient, and effective.

Here at RDM Infinity, our team of MultiValue developers has created custom AI solutions to modernize purchasing, replenishment, warehouse reporting, and more. Here are a few examples of what we might be able to do for you:

  • Your system has years (possibly decades) of sales and purchasing data, which means you have everything you need to provide purchasing recommendations based on products that are typically sold together based on certain conditions (like seasonal patterns or customer buying habits). Using this data, you can make recommendations to help promote sales — not only to your customers through online portals, but directly to your sales staff in your green screen application.
  • Efficiency in your warehouse is the key to helping your customers get fast, accurate access to the materials they need. With data informed by purchasing history and guided by sales trends, you can stock your warehouse in an efficient manner based on product needs, travel distances, space constraints, etc. Warehouse management system (WMS) data can also help you identify both efficiencies and outlying issues to provide actionable intelligence — not just piles of data that you have to sort through to get the answers you need.
  • By analyzing sales trends, customer buying habits, seasonality, demand pricing, and predictive purchasing, you can anticipate which materials or resources you need, and when you need them. You can even apply advanced machine learning to these data models to gain a deeper understanding of your operations and unlock insights to help you see what’s around the corner.

But let’s make one thing clear. We would never bolt these solutions onto your existing systems, then slap on a fresh coat of paint to make everything look nice. Our approach is to dig into our customers’ systems, understand what’s happening behind the scenes, and build made-to-order AI solutions that address specific issues with the best available data.

That’s why so many developers want to work for us — and why so many of our customers keep coming back for more. We’re solving complex problems in practical, powerful ways with custom-built solutions. And we pride ourselves on training the next generation of MultiValue developers so they can find new ways to put AI to work for you.

We’d love to discuss how our team of MultiValue developers can help you solve your most unique and pressing challenges. If you’d like to learn more, let’s set up a time to talk.