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Witham Technologies
02 · Agrifood

Data, cloud and AI for agriculture and food processing

Lincolnshire feeds the country. We help growers, packhouses and food manufacturers get clear on yield, giveaway, quality and demand, without adding work for already stretched teams.

Book a discovery call → See example projects
Produce being washed on a food processing line
Common challenges

What we often see in agrifood businesses

If any of these sound familiar, you're not alone. They're the problems that hold back performance in most operations in the sector.

Yield and giveaway are hard to pin down

Line, checkweigher and production data sit in separate systems, so losses are only spotted at month end.

Audit preparation takes over

Quality and food-safety records are spread across paper, spreadsheets and systems, making audit prep and traceability checks slow.

Cold-chain blind spots

Temperature data exists, but it isn't joined up with batches, stock and dispatch.

Seasonal and promotional demand

Retailer orders swing with weather and promotions, and over- or under-producing is expensive either way.

Customer reporting by hand

Retail and foodservice customers expect regular KPI reporting that is still assembled manually.

Example projects

What working with us could look like

Three examples of the kind of work we do in agriculture & food processing, from first conversation to measurable change.

Illustrative examples. These scenarios are based on common challenges in the sector and show how we'd approach them. They are not descriptions of specific client projects.

Example 1Analytics & Reporting

Same-day giveaway and yield visibility

The situation

A food processor runs several packing lines. Giveaway is known to be an issue, but it's only calculated monthly from exported checkweigher files.

What we'd do

  1. Automatically collect checkweigher and line data and link it to production orders and products.
  2. Model giveaway and yield by line, product, shift and crew.
  3. Put a simple Power BI view on the line and in the production office.

What changes

  • Giveaway visible during the shift, not at month end
  • Targeted improvement on the worst lines and products
  • A single, trusted yield figure for operations and finance

Typical shape: Data & Analytics Assessment → pilot on one line → all lines

Example 2Custom Software & Applications

Audit-ready quality and traceability records

The situation

A packhouse records quality checks on paper and in spreadsheets. Each audit, and each customer traceability request, means days of searching for records.

What we'd do

  1. Replace paper checks with a simple app for the people doing them, with photos, timestamps and sign-off.
  2. Store quality, batch, intake and dispatch records together in one governed platform.
  3. Build traceability lookups: from a batch to its suppliers, its checks and its customers.

What changes

  • Traceability questions answered in minutes rather than days
  • Audit evidence organised and ready to share
  • Fewer missed or incomplete checks

Typical shape: Process review → app and data pilot → roll-out across checks

Example 3AI & ML Enablement

Forecasting retailer demand with weather and promotions

The situation

A fresh produce supplier plans picking and packing from experience. Hot weekends and promotions regularly lead to waste or short supply.

What we'd do

  1. Combine order history, promotions calendars and weather forecasts.
  2. Build and test a forecasting model against past seasons before trusting it.
  3. Deliver the forecast into the planning team's existing tools.

What changes

  • Planning based on evidence, not just instinct
  • Less waste from over-production
  • Fewer short deliveries on peak days

Typical shape: AI Readiness Workshop → back-tested model → live planning support

Your existing systems

We work with what you already have

Most projects start by connecting the systems you already run, not replacing them. Systems we often see in this sector include:

  • Food ERP systems
  • Microsoft Dynamics 365
  • Sage
  • Checkweigher & line data
  • Temperature & IoT sensors
  • Quality management systems
  • Retailer portals & EDI
  • Excel & SharePoint
Not sure where to start?

Begin with a Data & Analytics Assessment

A focused review of where you are today, with clear priorities and a practical roadmap, before any commitment to a larger programme.

Discuss an assessment → See all assessments

Let's talk about your operation

Tell us what you're trying to improve. We'll arrange an initial conversation, and visit site if that's useful.

Book a discovery call →
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