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FictiveBox
AI & ML EngineeringSolution

Demand & Capacity Forecasting

Hierarchical forecasting and capacity models wired into ERP planning runs and S&OP cycles.

Problem

What we are solving

Spreadsheet forecasts drift in days, ignore promotions and seasonality, and create stockouts on top sellers while warehouses fill with slow movers.

Solution

How it works

Hierarchical and probabilistic forecasting models (Prophet, NHITS, gradient boosted) reconciled top-down and bottom-up, with promotion and weather features. Outputs feed ERP planning runs and S&OP review packs automatically.

Use Cases

Where it ships

Retail

SKU x store demand with promotion lift modelling and replenishment automation.

Manufacturing

Production capacity and raw material planning across multi-plant networks.

Logistics

Lane-level volume forecasting for capacity procurement and tendering.

Stack

Tech stack

ProphetNixtlaXGBoostSnowflakedbtAirflowSAP IBP
What you get

Engagement deliverables

Architecture and reference implementation tailored to your environment
Integration into your existing systems of record and action
Production hardening: observability, SLOs, runbooks and on-call
Knowledge transfer and optional managed operations

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