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Supply chain optimization

Find and fix the bottlenecks across your supply chain

Find the bottlenecks across your whole supply chain, compare against industry standards, and get concrete recommendations.

The problem

Delays and costs hide between systems and teams. By the time a bottleneck shows up in a report, it has already cost you.

What we build

  • Analytics across the whole supply chain, from your own data sources
  • Bottleneck detection and root-cause analysis
  • Benchmarks against industry standards
  • Prioritised recommendations, kept current as conditions change

What it learns from

  • Supplier and lead-time data
  • Warehouse and fulfilment operations
  • Order and shipment flows
  • Industry benchmarks

What you get

  • A clear view of where the chain slows down
  • Fixes prioritised by impact
  • Operations that improve continuously, not once a year

Built for

The people who own the decision

  • Supply chain directors and VPs
  • Heads and directors of operations
  • Operations managers
  1. 01

    Fit sprint

    We check your data sources and integrations against the problem, confirm what the data can support, and pick the right solution, architecture and platform — before anything is built.

  2. 02

    Milestone-based build

    We develop the decision engine in milestones you can see and check. Depending on scope it runs from about a month to six months, or up to a year.

  3. 03

    Go-live and maintenance

    We deploy it, run it and maintain it after launch, so it keeps working as your business and your data change.

Supply chain optimization: questions

Do you need data from every part of the chain?

No. We start from the data sources you have, confirm in the fit sprint what they can support, and widen coverage over time if it helps.

Is this a one-off audit?

No. We build analytics that keep running after go-live and maintain them, so new bottlenecks surface as they appear.

Other solutions

Have a decision your data should be making?

Start with a fit sprint. We check your data, confirm what it can support, and show you the architecture and milestones before anything is built.