Demand forecasting and inventory optimisation for manufacturers.
SupplyChain Foresight™ forecasts demand from your Tally sales history, sets reorder points line by line, and flags supplier risk, so you stop holding dead stock and stop running out of the lines that sell.
Questions it answers
- Which SKUs are tying up cash as slow-moving or dead stock?
- Which fast-moving lines are about to stock out?
- How much should we reorder, and when, for each item?
- What will demand look like over the next 8–12 weeks, including seasonal peaks?
- Which suppliers are becoming a risk to supply?
Most manufacturers can see stock on hand in Tally. What a monthly report doesn't show is which of those lines will still be sitting there in three months, and which will run out before the next purchase order lands.
What's in the readout
Named items and specific actions, not a chart you have to interpret.
Seasonal demand, line by line
A forecast for each item over the coming weeks, with a range that widens where history is thin.
How much, and when
Reorder levels and safety stock for each item, based on its own demand pattern and lead time.
Cash sitting on the shelf
The slow-moving and dead lines, with the value tied up in each, ranked by how much cash they hold.
Where supply could break
Fast movers heading for a stockout, and suppliers whose deliveries are becoming a risk.
How the model works
Seasonal demand is forecast with Holt-Winters time-series smoothing, which picks up trend and seasonality such as festive peaks. Reorder points come from a statistical safety-stock model. Items with genuinely intermittent, spare-parts-style demand use a separate method, because standard forecasting misreads long runs of zero sales.
Before the model runs, our Data Trust checks profile, validate and reconcile your books, so gaps and duplicates are flagged rather than hidden.
What it needs from Tally
Sales and purchase history by stock item, current stock levels, and supplier lead times where you track them. It works from a standard Tally export: nothing is installed on your systems. The exact exports needed are confirmed on the discovery call.
Stress-test it with a preshock
These prebuilt scenario forecasts run against the same numbers:
- Festive Demand Miss: what happens to stock and cash if the festive season comes in below plan
- RM Spike: the effect of a raw-material price jump on margin and working capital
- FX on Imported RM: a weaker rupee on imported inputs
Forecasts are ranges, not guarantees, and they are only as reliable as the sales history behind them. New items with little history get wider ranges. Methods, data sources and known limitations are set out in our AI Model Card.
Find out what your Tally data already knows.
Start with the free AI-readiness assessment, or book a 30-minute discovery call to see a forecast built on your own numbers.