Built Logic

See what AI can do

Supply shortage to fair allocation and informed customers

We take off your hands: chasing late supply, finding approved alternatives, sharing out scarce stock by your rules and updating customers on their orders.

You get: suggested substitutes, a share-out of scarce stock by your agreed rules and order updates for affected customers, for your supply chain manager to approve.

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The problem

When stock is short, whoever shouts loudest gets it, and our best customers find out last.

How the steps join up

It starts when: a supplier warns of a shortage, or a key material or component is running out.

  1. Chase late supplier deliveries that put production at risk

  2. Find approved alternative products and suppliers when an item is late or unavailable

  3. Suggest suitable product substitutes and check they meet the specification

    Your team checks and decides at this step.

  4. Share out scarce stock across customer orders by agreed rules when supply is short

    Your team checks and decides at this step.

  5. Recommend branch stock levels and transfers based on demand and lead times

  6. Answer customers' order status questions from production and delivery data

What you end up with: Late supply that threatens orders is chased, approved alternatives are found, scarce stock is shared across orders by agreed rules, stock is moved between branches or sites, and every affected customer hears the truth.

Who signs it off: Your supply chain manager approves allocations with sales, and your technical manager approves substitutes.

What it needs to work

  • Agreed allocation rules
  • Open order and stock data by location

If those aren’t in place yet, you’ll hear that before anything gets built.

Who it’s for

  • Manufacturers and suppliers

What would this cost for your team?

Answer questions about your company and how this work runs today. You see an indicative estimate of the hours back, what that time is worth and the price when you send your details.

Get a price for this

Or check first: Are we ready for AI?