PROVEN VALUE DELIVERY ACROSS 30+ INDUSTRIES
o9 EKG for
Powers Grocery Retail
how it works
The o9 Enterprise Knowledge Graph (EKG) connects your retail data—items, stores, DCs, vendors, capacities, policies, and transactions—into one decision model. With this foundation, teams can run synchronized plans across horizons (strategic, tactical, daily) while continuously learning from what actually happened.
External market knowledge can be harmonized alongside internal signals to explain what’s driving demand, not just predict it—so planners can act with confidence, faster, and with fewer handoffs.
Why Grocery Retailers choose o9
for connected planning
Outside-in demand signals
Blend internal drivers (promotions, price, events) with external demand indicators like weather, macro trends, and digital signals. Understand why demand moved using explainable feature importance, then operationalize the learnings across channels.
Omnichannel forecasting
Forecast at the right level for each need—omnichannel, store/DC, daily/weekly—and reconcile automatically. Use hierarchical approaches for slow movers and intelligent disaggregation so you can plan precisely without overfitting noise.
Low-touch replenishment
Automate store and DC replenishment using robust daily forecasts that factor weekday patterns, promotions, lead times, safety stocks, and constraints like planograms and backroom storage—so teams stop “planning every SKU by hand.”
Flow & capacity planning
Anticipate bottlenecks before they happen using 90-day, 21-day, and daily flow plans. Align labor, storage, and transportation capacity with demand volatility, then smooth peaks using prioritization rules to protect on-shelf availability.
Supplier & store collaboration
Share the right forecast and replenishment context with stores and suppliers so they can validate, override when local knowledge matters, and commit earlier. Improve service by reducing surprises and coordinating labor and space planning end-to-end.
Cognitive control tower
Move from alerts to action. Diagnose root causes of service failures, quantify revenue/margin risk, and recommend prescriptive resolutions (e.g., alternate sourcing or rerouting) so teams can decide and execute quickly during disruption.
Grocery volatility is constant
your decisions can’t be
Forecasts miss fast-changing demand because external drivers (weather, local events, macro conditions, digital signals) aren’t cleansed, timed, and modeled consistently—so planners rely on late manual overrides and debate.
Use outside-in market knowledge streams to ingest and harmonize public data with internal signals, then apply explainable ML so teams can see feature importance, trust the forecast, and scale improvements across channels and regions.
Omnichannel growth forces separate forecasts (in-store, click-and-collect, ship-from-store, ship-from-DC). Meanwhile slow movers and long-tail assortments create sparse data that breaks store-SKU forecasting at scale.
Run hierarchical forecasting: forecast at the most stable level (cluster/DC/category) and disaggregate intelligently to stores and days. Keep omnichannel forecasts aligned and reconciled so supply and labor plans don’t diverge.
Proven Results for
Grocery Retailers Leaders
Real-time Intelligence,
Enterprise-wide Impact
Experience the power
of o9 first-hand
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