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Wholesale and food

Fewer manual orders, more reliable numbers.

Wholesale and food businesses handle many orders, many suppliers and strict traceability rules. We build the order intake, document AI and data foundations that aim to reduce manual work and make the numbers consistent.

Book a callFree quick checks

01 / Problems

Problems we often see

These are situations we meet in this sector. They describe common patterns, not your organisation.

  • Orders by e-mail, PDF and phoneCustomers send orders in their own format, and someone types each one into the ERP.
  • Specifications and certificates in filesProduct specifications, certificates and supplier documents sit in mailboxes and folders, and checking them is manual work.
  • Traceability reports as a small projectQuality and traceability reports pull from several systems and spreadsheets, so every report takes effort to assemble.
  • Stock and demand planning on experiencePlanning relies on spreadsheets and on the knowledge of a few people, while the data to improve it is spread over systems.

02 / What we build

What we would build

The services that fit these problems. Each links to its own page with deliverables and approach.

  1. Problems we often see
    • Orders by e-mail, PDF and phone
    • Specifications and certificates in files
    • Traceability reports as a small project
    • Stock and demand planning on experience
  2. What we would build
    • Document AI
    • AI workers
    • Data platform
    • Operations software
  3. Where to start
    • AI readiness check
    • Data & AI quick scan
  • Document AI. Reads orders, specifications and certificates into structured data, with a review step for the doubtful cases.
  • AI workers. Agents that take over repetitive order and supplier administration, with a person approving the exceptions.
  • Data platform. One view of stock, sales and quality data, governed and documented, as a base for reporting and forecasting.
  • Operations software. A tool for order intake or planning that replaces the spreadsheet and sits beside your ERP.

Document AI AI workers Data platform Operations software

03 / Best first step

Where to start

Start with a free check, then take the first engagement that fits. Both end in a conversation, and we quote after that conversation.

  1. AI readiness check

    Free check

    Is your organisation ready for a first AI project? Data, use case, people, risk and pilot.

  2. Data & AI quick scan

    Typical duration: 2 to 3 days

    Rank the use cases by value for effort before you build anything. The quick scan names the three that matter most.

Take the checkAsk for a quote

Data & AI quick scan

  • Current state of systems, data and manual work
  • Three use cases ranked by value, effort and risk
  • Roadmap with a pilot proposal
  • Session with management to discuss the result

Next step

Which sector problem is yours?

Tell us what you run today and where the manual work sits. We say whether AI or a data platform fits, and what a first step is.

Book a callSend a messageor email info@nexops.nl directly

Accepting projects for Q4 2026