Agriculture & Food

Bring your operational data together.

We connect field, lab, inventory and sales data so your team can plan purchases, track batches and spend less time assembling spreadsheets.

  • Demand planning
  • Snowflake
  • Lab data
  • Traceability
  • Inventory
  • Point of sale

Problems we can help with

System Problem
Purchasing Ordering plans depend on spreadsheets rebuilt by hand each week.
Lab and field data Instrument-specific formats keep research data out of planning systems.
Supplier information Staff retype emailed catalogues and price lists.
Traceability Batch histories are spread across systems and hard to retrieve.

What we build and improve

  • Demand forecasts using sales and inventory data
  • Pipelines connecting field, lab, supplier and operational records
  • Document extraction with human review
  • Searchable lot and batch histories

Example: improving purchasing forecasts

Illustrative, not a client case study

Situation

A food retailer combines sales, inventory and supplier data manually to plan weekly purchasing across several locations.

Intended result

Purchasing recommendations backed by current data, with less manual preparation.

Approach

  1. 01 Combine sales, stock and supplier records
  2. 02 Build reorder recommendations that buyers can review and adjust
  3. 03 Track forecast accuracy against actual sales

Requirements we plan for

Batch traceability

Link inputs and outputs so teams can retrieve records for a recall.

Food safety records

Make records searchable and retain them for the required period.

Data history

Show each figure's source, calculation and last update.

Forecast accuracy

Measure prediction errors and show where confidence is low.

Discuss your project.

Tell us what you want to build, connect or fix.