Supply chain analytics for manufacturers and industry
Five services that turn the operational data you already hold into inventory, forecasting and planning decisions. Each one can start from spreadsheets and ERP exports.
Analytics and decision support
Our main practice. Supply chain decision support is covered by two focused pages below — prescriptive analytics and supply chain planning — because they answer different questions. The work is usually sequenced in this order, though you can start anywhere the data supports.
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Put the right inventory in the right place. Set smarter stock targets, identify excess and shortages, and rebalance stock to protect service while reducing working capital.
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Anticipate demand and plan with greater confidence. Turn demand patterns into forecasts planners can act on, and focus attention on the products and locations that need it.
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Turn complexity into clear actions. Move past reporting what happened to recommending what to make, order or stock next, with the reasoning shown.
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Surface risks early and prioritise replenishment and production decisions, in a planning tool built around how your team already works.
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Build a consistent, reliable foundation for planning. Standardise data across systems, automate the updates, and add quality checks so everyone works from the same definitions.
Traceability and supplier data
Answering where something came from, where it went, and what your customers now want to know about your suppliers.
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Know where materials and components come from and how they move. Connect sourcing, supplier and movement records so a quality investigation or a customer audit has an answer.
Website design
A companion service rather than a separate business. Technical companies need sites that explain a complicated offer clearly and rank for what buyers actually search.
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Fast, minimal, accessible sites that load quickly on a phone in a plant and are built to be found.
Who we work with
Three sectors where the problems rhyme, and where starting from imperfect data is the normal condition rather than the exception.
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Raw material inventory, production planning, lead-time variability and the gaps an MRP leaves behind.
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Spare parts and MRO inventory, long lead times, project-based demand and supplier risk.
Common questions
Which service should we start with?
Most engagements start with a data readiness assessment rather than a service. It is a fixed-scope look at what you already hold, and it ends with a recommendation about which of these services will pay back soonest. Clients with reliable data usually start with inventory optimization, because the working-capital effect is easiest to see.
Do we have to buy all of them?
No. Each service is scoped and priced on its own. Data engineering is the only one that is sometimes a prerequisite, and only when the data cannot yet support a reliable model. We will say so plainly if that is the case rather than building on a foundation that will not hold.
How long does a first project take?
An assessment is a short engagement. A first build is usually measured in weeks rather than quarters, because we scope it to answer one operational question well. We agree the timeline in writing before starting, and we tell you early if it is going to move.
Will our team be able to run it afterwards?
That is the point. We document the method, hand over the models and the code, and train the people who will use it. You own the result. If you want us to keep maintaining it we will, but it is a choice rather than a dependency.
Find out what your data can already tell you
A free 30-minute data readiness assessment. We look at what you have, tell you what it can support today, and name the first thing worth building. No preparation needed.