Forecasting and inventory intelligence from the data your team already uses.MetaLearner helps manufacturers, distributors, and retailers turn sales, inventory, and planning data into accurate forecasts and better inventory decisions.
We work with your technology stack
Proud to partner with industry leaders to deliver solutions driving growth and success.
Our Benefits
Start with your existing planning data. Better forecasts without a systems overhaul.
MetaLearner turns your sales and inventory data into early signals about demand shifts and inventory risk, so your team can correct course before stockouts, excess stock, or service issues hit.
Clearer Forecasts
See what's actually driving demand and where forecasts are most at risk. MetaLearner surfaces the seasonality, promotions, and external factors behind every forecast, with uncertainty ranges your team can plan against.
Free Up Working Capital
Better forecasts mean less excess inventory, fewer stockouts, and less cash tied up in the wrong SKUs. No new headcount or tooling required.
Faster Planning Cycles
Get forecasts, inventory recommendations, and exception alerts in plain language. Your team spends less time wrangling spreadsheets and more time acting on what matters.
Our Services
The agents behind MetaLearner
MetaLearner's agents handle the planning workflow end to end: preparing data, building forecasts, adding outside context, and making inventory decisions. They work with the spreadsheets, exports, and databases your team already uses.
1
2
3
4
1
2
3
4
Database Agent
Turns raw planning data into model-ready inputs.The Database Agent pulls from spreadsheets, exports, and database tables, then cleans the data and builds the features the forecasting and inventory models need, all structured by MetaLearner's planning ontology.
1
2
3
4
1
2
3
4
Forecasting Agent
Builds explainable demand forecasts from your sales and inventory history.The Forecasting Agent learns from historical demand patterns and external signals, then produces SKU-level forecasts with the drivers behind them and an uncertainty range your team can plan against.
1
2
3
4
1
2
3
4
Context Agent
Adds the outside world to your forecasts.The Context Agent layers external drivers like weather, holidays, tariffs, and macro shifts onto your demand signals, so forecasts adjust when conditions change instead of going stale.
1
2
3
4
1
2
3
4
Inventory Agent
Makes allocation decisions under uncertainty.The Inventory Agent uses forecasts and uncertainty ranges to recommend how much inventory to hold, where to position it, and when to reorder, balancing stockout risk against carrying cost across SKUs, locations, and channels.
AI agents that turn your existing planning data into accurate forecasts and inventory decisions, without the data science or IT lift.