The plan was right. Then it wasn't.
Demand, promotions, supply and operations fail across many variables at once. Xpertly tells you what changed since the plan was last on track, which changes explain the miss, and what to do before the next cycle.
Today / with xperts
Dashboards, planners, a war room.
What changed, why, which KPI; the exception handed to an owner.
Root cause in minutes, misses caught before the next cycle.
What it looks like
Forecast accuracy for breakfast cereals at a national grocer left tolerance at 09:40. 14 twins changed since the plan was approved; 6 relate to it: a competitor promo, a range change, two out-of-stocks and a late promo start. Assigned to the demand xpert; re-baselined within policy; replenishment exception raised; reply to the buyer drafted.
How it works here
- 01 — Events
POS and sell-through feeds, PO changes, stock alerts, promo submissions, buyer emails, monitoring.
- 02 — Ontology
Twins per SKU-retailer, promotion, site, line. KPIs: forecast accuracy, fill rate, promo uplift vs plan, trade spend ROI, availability.
- 03 — Xperts
Demand xpert, promo xpert, operations xpert.
- 04 — Governed execution
Re-baseline, raise exceptions, draft the buyer response, within rules.
In production
A national retailer.
Cross-store and warehouse insight across 3,000 sites; anomalies caught earlier.
Where to start
- 01Weekly forecast review and exceptions
- 02Promo post-evaluation
- 03Out-of-stock root cause
- 04Range review response
- 05Operations monitoring across sites