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Who we are

Supply chain engineers who build with machine learning

We are a multicultural team based in Panama City. We come from planning demand, inventory and production in real operations, and we build the tools we wish we had: ForecastSolve, DemandSolve and PlanSolve. We serve all of the Americas in Spanish, English and Portuguese.

  • Panama City
  • All of the Americas · ES / EN / PT
  • Forecasting, demand planning and S&OP
  • Applied machine learning, not lab work

Why we exist

In most mid-sized companies in the region, demand forecasting is done by one person in Excel, with a method they inherited and nobody measures. The platforms that would solve the problem cost a months-long project and an annual license designed for multinationals. Between the two there was nothing.

DataSolve was born to fill that space: serious, measured, auditable forecasting within reach of a company with hundreds or thousands of SKUs, without changing tools before it is time. That is why our products are a ladder: ForecastSolve for one planner in Excel, DemandSolve for a team, PlanSolve for the whole company. You move up when the process asks for it, not before.

And that is why consulting goes with the software: a good model without a process gets lost, and a process without a good model argues over bad numbers.

What we know how to do

Data analysis

Processing, cleaning and structuring sales, inventory and master data so the forecast starts from a reliable base.

Supply chain

Demand, supply and production: integrated planning with the practices that work in real operations, not only in the textbook.

Machine learning

Statistical models and machine learning algorithms to automate the forecast and other operational predictions, chosen by measured error.

Project management

Implementations with clear scope, calendar and measurable results. We prefer a pilot that works to a plan that impresses.

How we work

  1. We measure before we promise

    Every proposal starts with your data: your current forecast error, your inventory, your process. If we cannot improve what you have, we tell you.

  2. Nothing is transformed without your approval

    Our tools do not correct data on their own. Every adjustment is decided by a person and logged with its reason.

  3. The right model for each item

    We do not believe in one method for the whole catalog. Models compete per item and the one that errs least on unseen data wins.

  4. We leave when the process runs on its own

    We train the team on its own data and support the first cycles. The goal is that you do not need us for the next one.

Who is behind it

DataSolve was founded by people who planned demand and inventory in real operations before building software to do it better.

About the figures on this site

The results figures on the home page and in the ROI calculator (error reduction, inventory reduction, return) are industry references, labeled as illustrative. They are not audited measurements from our customers.

Frequently asked questions

Where are you and whom do you serve?

We are in Panama City and work with companies across the Americas by video call, in Spanish, English and Portuguese. We visit the operation when the project calls for it.

Which sectors do you know best?

Distribution and consumer goods, pharma, food, hardware and spare parts: catalogs of hundreds to thousands of SKUs with mixed demand, including intermittent.

Are you consultants or a software company?

Both, on purpose. The software (ForecastSolve, DemandSolve, PlanSolve) comes from what we see in consulting, and consulting relies on the software so the process holds.

How do I start?

With a 15-minute call from the contact page. Tell us how many SKUs you manage and how you forecast today, and we will tell you where we would start.

Shall we talk about your operation?

Fifteen minutes, no sales pitch. We will tell you frankly whether we can help and with what.

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