AI-powered demand planning,
built for operations teams
SKU Science covers your entire demand planning process, from AI-generated forecasts to collaborative review and S&OP-ready outputs, without the complexity of enterprise software.
Trusted by manufacturers, distributors, food & beverage and life sciences companies across 80+ countries.
An AI demand-planning engine, dashboards, and the process around them
Not just a forecast: a complete platform for your demand-planning cycle.
Built by supply-chain practitioners, for supply-chain practitioners.
Hundreds of AI-driven combinations, tested per item, per cycle
Each forecast blends statistical and machine-learning models into hundreds of AI-powered combinations, evaluated across multiple historical windows. The engine picks the one that delivers the most reliable result — every cycle, every SKU.
Off-the-shelf dashboards, ready to use
Aggregate by item, family, customer, store, country: the dashboard rebuilds instantly. No configuration, no Excel pivots, no formulas to maintain. Demand-planning KPIs are computed automatically.
A well-defined S&OP framework, baked in
Granularity, temporality, metrics, process: the framework is already there. Your cycle runs without re-inventing it each month. Data updates flow in via API, MCP connector or XLS. The engine shows its work.
Every dashboard your S&OP cycle needs, out of the box
From the portfolio overview down to a single SKU, with accuracy, bias and forecast value added at every level. See what changed since last cycle, and why. The engine recomputes in the background, you focus on decisions.
Your statistical forecast is not the only one in the room
Sales have a number. Key accounts send theirs. Finance has a budget. SKU Science holds them side by side, then scores the adjustment your team locks in against the statistical baseline, so you know, cycle after cycle, whether the consensus actually beat the engine.
Promotions modelled, not guessed
Promotional effects are built into the forecast, so a planned uplift stops looking like new baseline demand, and the post-promo dip stops looking like a lost customer.
Launches, phase-outs and substitutions
Link a successor to the item it replaces and the history follows. Launches borrow from comparable products; end-of-life ramps down without a manual override every cycle.
From raw data to calibrated forecast: three steps, two days
No discovery workshop. No consultant onboarding. Upload your history, map columns once, get a forecast you can defend in your next S&OP meeting.
Bring in your sales history
Connect through the API, upload Excel or CSV, or push data via MCP. Bring at least 24 months so seasonality can be detected. We auto-detect SKU codes, dates, quantities and categories. Map columns once, re-imports remember the mapping.
The engine runs hundreds of combinations per item
For each SKU, the engine fits hundreds of statistical and ML combinations across historical periods. The one with the most reliable out-of-sample performance is selected as your forecast.
Review, adjust, and lock your cycle
The S&OP framework is already configured: granularity, temporality, KPIs. Override any forecast manually, leave a comment, and lock the cycle. Exports go straight to your ERP or planning system.
Verified reviews from supply-chain teams
"SKU Science is the best Demand Collaboration platform I have encountered in nearly 20 years of experience in Supply Chain planning. I am transferring all my clients to this platform as quickly as possible."
"I find it rare these days to find product that not only do EXACTLY what it says it will do, but even exceed expectations. We reduced our overforecasting with roughly 60% since we implemented the tool about 5 months ago."
"A software that meets the expectations of a mid-sized enterprise in development. The outcome is highly positive, with an improvement in accuracy of over 10% for certain classes of items."
"The support from the team is first class despite being the other side of the world. On friday we sent all the data files to SKU Science and by the time Monday arrived to Australia it was all ready to go!"
"Overall very satisfied. Delivered an accurate forecast in an easy-to-use format as promised. Incredibly pleased with the ability to pinpoint high-value items that were difficult to forecast and deserved a second look."
"Ease of integration into the IS, user-friendliness, as well as all the features offered, and the service and availability of the SKU teams!"
"The construction of forecasts is very straightforward and comprehensive, with the ability to calculate forecasts at the desired level of aggregation."
"SKU Science is the best Demand Collaboration platform I have encountered in nearly 20 years of experience in Supply Chain planning. I am transferring all my clients to this platform as quickly as possible."
"I find it rare these days to find product that not only do EXACTLY what it says it will do, but even exceed expectations. We reduced our overforecasting with roughly 60% since we implemented the tool about 5 months ago."
"A software that meets the expectations of a mid-sized enterprise in development. The outcome is highly positive, with an improvement in accuracy of over 10% for certain classes of items."
"The support from the team is first class despite being the other side of the world. On friday we sent all the data files to SKU Science and by the time Monday arrived to Australia it was all ready to go!"
"Overall very satisfied. Delivered an accurate forecast in an easy-to-use format as promised. Incredibly pleased with the ability to pinpoint high-value items that were difficult to forecast and deserved a second look."
"Ease of integration into the IS, user-friendliness, as well as all the features offered, and the service and availability of the SKU teams!"
"The construction of forecasts is very straightforward and comprehensive, with the ability to calculate forecasts at the desired level of aggregation."
What a 15% cut in forecast error is actually worth
For every $10M in revenue, inventory ties up $1M to $2M of capital. Cutting forecast error by 15 to 20% — our minimum expected result — releases part of it.
Quiet, careful, audited
Hosted on AWS in the European Union (Ireland). SSL encryption end-to-end. Backups every 6 hours. Token-gated support access — only you let us in. SOC 2 Type II certified, audited annually by an independent third party, and GDPR compliant.
2
Run one cycle before you commit to anything
Upload your sales history with product reference data, and you get operational forecasts in two days: no ERP integration, no IT project. If the numbers don't convince your team, you walk away.
