AI Forecasting Software for Supply Chain

A demand forecast your
planners actually trust.

Better forecasts. Less manual work.

 

A more accurate, stable and explainable baseline forecast for demand planning teams. Built, run and continuously improved by our team. Delivered into the planning systems you already use.

Lower inventory. Fewer stockouts. More time for planners to focus on exceptions.

25%
Better Forecast Accuracy
+10%
Forecast Value Add (FVA)
Up to 85%
No-touch Potential

Trusted by top brands worldwide.

Your planning system gives you a forecast.

Your planners still do the heavy lifting.

When the baseline falls short, planners fill the gap. They clean history, adjust forecasts and review thousands of SKUs every cycle.
As demand patterns shift and working capital comes under pressure, the cost of an unreliable baseline becomes harder to absorb.

Too much manual work

Hours spent preparing data, correcting forecasts and making manual adjustments instead of managing exceptions.

Unexplained changes

Forecasts change without clear explanations, leaving planners unsure which numbers to trust or adjust.

Complex demand gets missed

Stockouts and supply disruptions distort demand history, while traditional forecasts often overlook promotions, external signals and other demand drivers.

A stronger baseline.
Clear guidance on where to intervene.

More accurate forecasts

Reconstruct underlying demand by correcting distortions such as stockouts, pull-forwards and re-pipes. Match the forecasting approach to each demand pattern, including new products, long-tail items and promotions.

Stable from cycle to cycle

Reduce unnecessary changes between planning cycles while responding to meaningful shifts in demand.

Know what to touch, and what to leave alone

Confidence and predictability signals help planners identify forecasts that can run untouched and focus their judgment where it can improve the outcome.

Understand the number

AI-powered explanations show what drives the forecast, what changed since the previous cycle and why, in planner terms.

More accurate forecasts

Reconstruct underlying demand by correcting distortions such as stockouts, pull-forwards and re-pipes. Match the forecasting approach to each demand pattern, including new products, long-tail items and promotions.

Stable from cycle to cycle

Reduce unnecessary changes between planning cycles while responding to meaningful shifts in demand.

Know what to touch, and what to leave alone

Confidence and predictability signals help planners identify forecasts that can run untouched and focus their judgment where it can improve the outcome.

Understand the number

AI-powered explanations show what drives the forecast, what changed since the previous cycle and why, in planner terms.

Keep your planning system. Upgrade the forecast inside it.

Your team keeps its planning systems and judgment. We manage the forecasting process and continuously improve performance.

Our team manages and continuously improves your forecasts, giving you dedicated forecasting expertise without the need to build or maintain it in-house.

Better forecasts. Better business outcomes.

Traditional demand forecasting is struggles with the complexity and speed of modern supply chains.

Planner productivity
Spend less time on routine forecast reviews and more time managing exceptions.
Lower inventory
Reduce excess stock and safety buffers with a more reliable view of future demand.
Fewer stockouts
Improve product availability and reduce sales lost to stockouts.
Free up working capital
Keep less cash tied up in inventory you don't need.
Company size Enterprise
Industry Consumer products
The Predictive GenAI framework is truly a game changer in making machine learning and AI capabilities accessible to the business team.
Neil Ackerman
Head, Worldwide Innovation and Disruption,
Global Consumer Supply Chain
Company size Enterprise
Industry Automotive
Demand Forecast proved value quickly. Within a month, forecasts surpassed our prior process without manual cleanup, letting planners focus on strategy, not firefighting.
Thomas Dickey
Senior Director, Inventory, Planning & Analytics
Real outcomes

Explore the evidence

32%

average reduction in forecast error

70%

less manual planning effort

75%

of forecast volume managed without manual edits

50%

less overstock in a customer deployment

See the results behind the numbers, based on 15 real-world demand forecasting deployments benchmarked against existing forecasting methods.