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Supply Chain Transformation

Inventory Intelligence

Determine what inventory to hold, where and when — against real demand and risk.

Discuss a Transformation

The opportunity

Inventory Intelligence

Inventory is the largest controllable use of working capital in most operations, and the one most often governed by rules set years ago and never revisited — producing the paradox every operations leader knows: too much of the wrong stock and too little of the right. ThinkStack replaces static safety-stock rules with risk-based positioning tuned to each item's demand volatility, lead time and service target, predicting stock-out risk before it bites and surfacing ageing capital early enough to act. Availability is protected while cash is released, and every recommendation is specific and reviewable rather than a dashboard someone still has to interpret.

What we build

Capabilities that change the economics of the work.

  • Inventory optimisation

    Sets stock targets by location and channel against service goals, cost of capital and demand volatility.

  • Excess and slow-moving identification

    Surfaces capital trapped in ageing and obsolete stock early enough to act on it.

  • Stock-out prediction

    Predicts availability risk ahead of time so teams protect revenue on the lines that matter.

  • Safety-stock optimisation

    Replaces blanket buffers with risk-based buffers tuned to each item's demand and supply profile.

  • Multi-location rebalancing

    Recommends moves between sites to meet demand without over-ordering across the network.

  • Automated replenishment recommendations

    Turns the analysis into specific, reviewable buy and move recommendations, not just dashboards.

How we work

From workflow to working AI — with value at each step.

01

Discover & map

We study how the work actually happens, the decisions that drive it and where value is lost.

02

Redesign

We decide what stays human, where AI assists and what agents execute — with controls by design.

03

Build & integrate

We develop the AI and software and connect it to your systems of record.

04

Deploy

We launch into the flow of work with governance, then support adoption.

05

Optimise

We measure outcomes and keep improving — because value compounds after go-live.

FAQ

What should AI change inside your business?

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