Demand and revenue forecasting
Hierarchical forecasting with intermittent demand handling, promotions and external drivers.
Build & Engineering
A forecast nobody acts on is a report.
The problem we solve
We build forecasting, optimisation and simulation into the decision itself — the pricing screen, the replenishment run, the shift plan — so the model changes an outcome rather than informing a slide.
Hierarchical forecasting with intermittent demand handling, promotions and external drivers.
Pricing, inventory, routing and workforce optimisation under real constraints and service levels.
What-if tooling so planners can test decisions before committing capital.
Recommendations delivered inside planning and ERP screens with the reasoning attached.
Rolling-origin backtests, champion-challenger deployment and live accuracy tracking.
How the engagement runs
Current decision process, accuracy baseline and constraint capture.
Model development, backtesting and planner review of recommendations.
Workflow integration, adoption support and monitoring handover.
Common questions
Related practices
Production-grade AI-native web, mobile and embedded applications with offline sync, enterprise SSO and real observability.
ViewAgentic workflows wired into ERP, CRM, ticketing and document systems, with human checkpoints where risk demands them.
ViewRetrieval architecture, fine-tuning, evaluation harnesses and inference cost tuning built for production traffic, not demos.
ViewA 45-minute briefing with the people who would run the work — scope, timeline and a straight answer on whether it is the right next step.