What it is
Point-of-sale data, weather, local events and web traffic flow into Linkube daily or intraday, correcting the near-term forecast at store and SKU level — the horizon a monthly forecast cannot see. Ordering and allocation consume those corrections directly, so the network responds to demand shifts days sooner than a standard planning cadence allows.
What you get
- Store-level forecasts refreshed as new transactions land
- Spikes and slowdowns detected before the weekly cycle sees them
- Fewer stockouts during weather and event-driven peaks
- Long-range plans stay stable while short horizons adjust
How it works
- 01
Stream POS transactions, weather feeds, footfall and online activity into the model
- 02
Reweight near-horizon demand where live signals diverge from the baseline
- 03
Publish corrected forecasts to ordering and allocation, then score forecast error daily
Works well with
Ready to see Linkube on your data?
Book a working session with our team and we’ll map Linkube to your planning and risk workflows.