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Automating IFS/BRC Quality Reporting: A Case Study
Food & Beverage Industry

Automating IFS/BRC Quality Reporting: A Case Study

Deployment at a food & beverage manufacturer. Challenges, methodology and measurable results.

05 March 2026

The starting point: time-consuming and fragile quality reporting

In the food and beverage industry, IFS/BRC quality reporting still very often relies on an accumulation of Excel files, shared workbooks and manual data entry. Quality teams spend hours compiling data before each audit or management review.

The most common symptoms:

  • Several hours per week spent on data consolidation
  • Inconsistencies between files from different departments
  • Traceability that is difficult to demonstrate during IFS/BRC audits
  • Indicators available too late to take action
Key figure
On average, a 3-person quality team spends 15 to 25 hours per week on manual data compilation for reporting.

Our approach: automate without replacing everything

The goal is not to replace the existing ERP or quality system, but to connect the data sources to automatically generate the required reports.

Phase 1

Data flow diagnostic

Phase 2

Pipeline construction

Phase 3

Dashboards and alerts

Step 1 — Data flow diagnostic

We map the existing data flows:

  • What data is entered, where, and by whom?
  • What reports are produced manually?
  • Which IFS/BRC standards are concerned?

Step 2 — Pipeline construction

Setting up connectors between the sources (ERP, inspection files, internal databases) and the reporting layer. Data is automatically cleaned, consolidated and historised.

Step 3 — Dashboards and alerts

Deployment of real-time dashboards:

  • Non-conformance tracking by line, product, supplier
  • HACCP indicators: CCPs, critical limits, corrective actions
  • Audit preparation: automatic extraction of required data
  • Alerts: notification when thresholds are exceeded

Results achieved at a food and beverage manufacturer

At a client in the cereal sector (an SME with 200 employees), we deployed this approach over 9 months.

Indicator Before After
Reporting time 2 days / week 15 minutes / week
IFS audit non-conformances 3 minor 0 major, 0 minor
Team adoption 100% within 2 sessions
Data availability lead time D+5 to D+10 Real-time

"There is no going back. The time saved on reporting is now reinvested in analysis and continuous improvement."

— Quality Manager, food and beverage manufacturer

Technical architecture deployed

SourcesETL PipelineConsolidated databaseDashboards
┌─────────┐    ┌───────────┐    ┌──────────────┐    ┌────────────┐
│ ERP       │───▶│ Python    │───▶│ PostgreSQL   │───▶│ Power BI   │
│ Excel     │    │ Airflow   │    │ + history    │    │ or Metabase│
│ Sensors  │    │ + alerts  │    │              │    │            │
└─────────┘    └───────────┘    └──────────────┘    └────────────┘

What this means for your organisation

Automating quality reporting is not a standard IT project. It is a business project that requires an in-depth understanding of IFS/BRC standards and shop-floor processes.

That is why we always work in pairs: one technical profile (data engineering) and one business profile (former quality analyst in the food and beverage industry).

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