Skip to main content

Industry

Manufacturing

Use better data to reduce supplier risk, document work and cost surprises.

Triggernew emailRead + sortfields pulledRules runchecks passHuman checkedge casesFiled + postedto your systemRepeat work runs itself, people approve the exceptions

Problems we hear

Where Manufacturing teams feel pain

  • Spend and supplier data sit in different plants and systems.
  • Tariff and freight changes hit material cost without warning.
  • Purchasing and quality teams handle too many documents by hand.

Typical buyers

Head of PurchasingHead of Supply ChainFinance DirectorHead of Data

Data sources we connect

ERP systemsSupplier portalsContracts and certificatesTariff and freight sources

Outcomes

  • Savings you can measure
  • Fewer cost surprises
  • Faster purchasing cycles

Working in manufacturing? Start with one problem.

Send the problem, the systems involved and what good looks like. We reply within one business day with a first step and a target.

FAQ

Manufacturing questions, answered

Where teams in manufacturing usually start, and how we scope value.

Most manufacturers start with a spend and supplier visibility project, or with one document-heavy purchasing workflow such as invoice matching. We pull data from ERP systems, supplier portals and contracts for one plant or category, clean it, and build a working view within the first few weeks. This gives a concrete result the team can check before we expand to more plants, categories or systems.

We typically connect to the ERP system, supplier portals, contracts, certificates, and tariff or freight sources for the products in scope. Access is agreed in advance, limited to approved fields, and read-only unless a workflow requires an update. If a plant runs a different ERP than head office, we build a mapping so the data lines up under common categories.

A good result is measurable savings, fewer cost surprises from tariffs or freight, and faster purchasing cycles because documents move without manual retyping. We agree the measure before build, such as spend visibility percentage, exception count or days to process an order, and report against it so the improvement is visible rather than assumed.

A first pilot on one plant or category usually delivers a working result in three to six weeks. Cost depends on the number of systems, data volume and how much document automation is included. Most clients start with a fixed-scope pilot, then move to an ongoing engagement once the value is proven across plants.

Next step

Discuss your use case

Bring one pain point, a data source, a workflow, a margin question. We'll come back with a focused assessment and a clear ROI hypothesis.

Get a focused reply within one business day

One business-day response · NDA on request · No newsletter spam.

Book a meeting

Talk to a data and AI lead, not a sales rep

Pick a 30-minute slot. Bring one problem. You leave with a scoped approach and a rough ROI range.

  • 30 minutes
  • Video call
  • Reply within 1 business day