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Procurement

AI Forecast Flow

Forecasts at SKU-location granularity and converts the forecast into replenishment a planner can act on. Service level and working capital are traded off explicitly rather than argued about in a monthly meeting.

  • Procurement
  • Manufacturing
  • Predictive Analytics
  • Real-Time Analytics
  • Workflow Automation
  • API Integrations
−27%
Excess inventory
98.6%
Service level held
SKU×site
Forecast granularity
The product

What your team actually works in

A live-data view of AI Forecast Flow. Every panel below is a real screen from the product, drawn with representative figures rather than an illustration of one.

AI Forecast Flow showing a demand forecast drawn as a widening confidence cone, service level and inventory cover gauges, a replenishment table by SKU and site, and a distribution map of stocking locations.
Capabilities

What it does

  • 01

    Confidence intervals

    The forecast is a cone, not a line — safety stock is set against uncertainty you can see.

  • 02

    SKU-location granularity

    Every stocking node forecast separately, because national demand hides regional stockouts.

  • 03

    Replenishment suggestions

    Orders raised against the forecast and the lead time, ready for a planner to approve.

  • 04

    Network rebalancing

    Surplus at one site matched to exposure at another before new stock is bought.

  • 05

    Service-level policy

    Target per SKU class, with the working-capital cost of each target made explicit.

  • 06

    Promotion awareness

    Planned uplifts modelled in, and flagged where history is too thin to trust.

Business outcomes

What changes when it ships

Figures from engagements running in production. Every one of them was the number the project had to move before it was approved.

−27%
Excess inventory
98.6%
Service level held
SKU×site
Forecast granularity
  • Deployed into your boundary — data never leaves your control
  • Integrated with the systems of record you already run
  • Confidence thresholds route edge cases to a human, always
Integrations

Connects into your stack

Products read and write through the systems that hold your data — no parallel database, no migration project, no second source of truth to reconcile.

Systems of record

  • SAP
  • Oracle

Workplace

  • Microsoft 365

Orchestration

  • n8n
  • MCP
  • REST APIs

Next step

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