AI that keeps the shelf full
Demand sensing that reads tomorrow's basket today — replenishment, planogram velocity and promo lift on one signal, cutting stockouts 18% without burying you in safety stock.
A Hominis app module · your retail & fmcg data, app-ified
Read tomorrow's basket today
Demand sensing, replenishment and promo lift on one signal.
SKU-level demand sensing
Short-horizon forecasts that blend POS, weather, promo calendars and local events — so the next order reflects real demand, not last quarter's average. The signal that drove an 18% drop in stockouts.
18% less stockout
AI-driven replenishment
Store- and DC-level reorder points that self-tune to lead times and shelf life, balancing on-shelf availability against the cash trapped in safety stock.
Availability vs. working-capital, optimized
Planogram & shelf velocity
Reads which facings actually turn by store cluster, flagging slow movers and the assortment gaps that quietly leak sales between resets.
Per-cluster, not chain-average
Promotion & markdown optimization
Forecasts true incremental lift and cannibalization before the promo runs, then times end-of-life markdowns to clear stock without torching margin.
Lift modeled before spend
Personalization & next-best-offer
Turns loyalty and basket history into per-shopper recommendations across app, email and shelf-edge — relevance that lifts basket size, not opt-outs.
Per-shopper, privacy-respecting
A forecast merchants act on, wired into the floor
Why the order book got handed to the model.
Forecasts merchants can act on, not just admire
Every demand number traces back to its drivers — promo, weather, seasonality, cannibalization — so a category manager can see why the model wants more units and override one store without breaking the chain. Explainability, not raw accuracy, is what got the order book handed to the model.
Plugs into the systems that already run the floor
The RetailDemand instrument writes back into existing ERP, POS and replenishment workflows instead of asking buyers to live in a new tool — the integration depth that makes the signal sticky once it's wired into the daily order cycle.
One method, tuned for retail & fmcg
Assess, Transform, Sustain — the cycle every organization runs, dropped one level deeper for your sector's pains and sticky aspects.
Assess
Stockout and overstock leakage audit across the assortment
We quantify where availability is actually bleeding revenue — by SKU, store cluster and season — and separate true stockouts from phantom inventory and forecast bias. The output is a ranked list of categories where demand sensing pays back fastest, mapped against your POS, ERP and replenishment data quality. 4–6 weeks to a prioritized roadmap.
Transform
Demand-sensing and replenishment models wired into the order cycle
We build SKU-store-day forecasts on the Hominis RetailDemand instrument and connect them to live reorder logic — piloting on a few high-velocity categories, then hardening to chain-wide production. Models account for promo lift, cannibalization and lead-time variability, and write back into the ERP/POS systems buyers already use so the recommendation lands in the daily order, not a dashboard.
Sustain (AIOps)
Forecast drift, promo calendars and seasonal retraining at retail cadence
Demand models decay fast when assortments, promos and shopper behavior shift, so we monitor forecast accuracy and bias by category and retrain against new promo calendars and seasonal breaks. AIOps watches for the silent failure modes that matter in retail — new-product cold starts, post-promo demand cliffs and store-cluster drift — before they show up as empty shelves or marked-down overstock.