Demand Forecasting
Statistical & causal models with seasonality, trend, and holiday effects.
Forecast demand and set stocking policies that balance service level and working capital. From demand sensing and promotion lift to multi‑echelon optimization, replenishment recommendations, and what‑if simulations — integrated with ERP, OMS/DMS, and WMS.
Statistical & causal models with seasonality, trend, and holiday effects.
Near‑real‑time signals from POS, orders, and events to adjust short‑term forecast.
Apply uplift factors for campaigns, launches, and price changes.
Target service level or fill‑rate with variability and lead‑time considerations.
ROP/ROQ, min–max, periodic review (P,S), and EOQ with cost trade‑offs.
Optimize buffers across DCs, hubs, and stores/outlets with transshipment.
Generate recommendations and firmed POs/transfers with constraints.
Alerts for stockout risk, excess, forecast bias, and parameter anomalies.
Scenario planning for service targets, lead time, MOQ, and budget impacts.
Service level, forecast accuracy (MAPE), bias, DOI, turns, and excess.
RBAC/SSO, approvals, audit logs, and change history on parameters.
ERP/WMS/OMS, POS data, webhooks, EDI/AS2/AS4, REST APIs & SFTP.
Place buffers where they matter across your network.
Reduce excess inventory while keeping service level high.
Exception‑driven planning replaces reactive expediting.
Simulate trade‑offs and commit with confidence.
Closed loop with ERP/WMS/OMS for execution and feedback.
Parameterized, auditable, and role‑controlled processes.