Case Study:
Beyond the Microscope: How Iris Brought Intelligence to Retail Food Safety Data

A leading retail grocery group managing a large network of laboratories and suppliers faced a growing challenge: thousands of food safety and quality reports arrived every month in varying formats. These reports included microbiological and chemical test results for raw ingredients, ready-to-eat products, and packaging all vital to maintaining consistent safety standards across stores and suppliers.

Each report had to be opened, interpreted, verified, and manually entered into internal systems. The process was slow, inconsistent, and vulnerable to human error. As the retailer expanded its supplier base and testing frequency, manual handling became unsustainable.

The business needed a faster, smarter, and fully compliant way to capture and validate food safety data across its value chain, from supplier to shelf.

Challenge

Food safety reporting in retail involves a constant flow of laboratory data, but diverse file formats and reporting methods made automation difficult. The retailer’s main challenges included:

• Non-standardized reports: Each laboratory used different templates, layouts, and terminology

• Slow turnaround times: Data validation and approval could take days, delaying store and supplier actions

• Compliance risk: Manual transcription introduced errors that threatened audit readiness and traceability

• Inefficient resource use: Specialists spent more time capturing data than analyzing it

• Scalability limits: As suppliers increased, manual processes could not keep pace

The grocery group needed a data intelligence solution capable of reading, interpreting, and structuring food safety data automatically without compromising accuracy or control.

Solution: Atlas by Prmpted

Prmpted by WorldsView Solutions implemented Iris, a GenAI-powered document intelligence engine tailored for the retail grocery supply chain. Iris reads and understands laboratory reports in any formats, PDFs, images, or spreadsheets and transforms them into structured, validated data ready for use.

Unlike traditional OCR tools, Iris interprets meaning. It identifies test names, results, limits, and batch details, linking them directly to supplier and product records. This allows food safety and quality teams to act on verified data in real time rather than waiting for manual validation.

Deployed as a closed-loop on-premise system, Iris operates entirely within the retailer’s secure infrastructure. No document or prompt leaves the network, ensuring complete data sovereignty and compliance with retailer and regulatory standards.

How It Works

Iris applies layered intelligence to turn unstructured food safety documents into trusted, actionable data:

• Document Recognition – Detects file type, layout, and content patterns across multiple laboratories

• Intelligent Data Extraction – Reads and interprets text, tables, and handwritten content while maintaining accuracy

• Domain-Aware Reasoning – Understands context such as “micro count,” “batch number,” or “expiry date”

• Validation Logic – Cross-checks extracted data against internal thresholds and supplier schemas

• Anti-Hallucination Safeguards – Ensures only verified source data informs results

• Structured Output Delivery – Exports validated results into quality management or ERP systems for immediate action

This layered approach combines AI precision with full traceability, ensuring every supplier result can be verified back to its original source file.

Impact

Within weeks, the grocery group saw measurable improvements across its food safety and quality operations:

• Data processing time reduced by up to 90 percent

• Supplier turnaround improved from days to minutes

• Error rates dropped significantly, strengthening audit confidence

• Full traceability achieved for every report and batch

• Compliance readiness enhanced for both internal and third-party audits

• Product integrity reinforced through faster responses to quality or contamination risks

By connecting laboratories, suppliers, and compliance teams through Iris, the retailer created a unified and intelligent data layer that improved both food safety performance and operational efficiency.

Outcome

Iris redefined how the retailer manages supplier testing data. What once took days of manual effort now happens automatically, with results validated and ready for decision-making within minutes.

Quality and compliance teams can now focus on insights rather than data entry, while suppliers benefit from faster feedback that builds trust and collaboration.

With Iris, Prmpted by WorldsView Solutions helped the retailer establish a new benchmark in digital food safety. One that is driven by automation, accuracy, and accountability.

The retailer now operates with greater confidence in every test, every report, and every product reaching the shelf.