AI Analytics Pipeline
2024 - PresentUK Restaurant Client (Confidential)Margin Visibility
Margin Visibility is an AI-powered analytics pipeline built for a UK restaurant client. The system connects to their mailbox to receive LightSpeed POS (point-of-sale) reports for specific restaurant locations, then runs those reports through an intelligent business pipeline that calculates margins, identifies trends, and generates clear analytics summaries. Scheduled reports are then delivered directly to stakeholders via email — replacing a manual, time-consuming reporting process with a fully automated, reliable pipeline that runs without human intervention.
Challenges
- •Reliably extracting LightSpeed POS report data from incoming mailbox emails in varying formats
- •Building a business pipeline that correctly calculates margins and revenue trends from raw POS data
- •Designing an AI layer that surfaces meaningful insights rather than simply re-presenting raw numbers
- •Scheduling automated report delivery that is resilient to failures and infrastructure changes
- •Handling edge cases where POS reports are delayed, missing, or arrive in unexpected formats
- •Ensuring the generated reports are readable and actionable for non-technical restaurant stakeholders
- •Maintaining audit trails so every report can be traced back to the source POS data that produced it
Solutions
- •Built a mailbox integration layer that monitors the inbox, identifies LightSpeed POS report emails, and extracts structured data from attachments
- •Developed a business logic pipeline that normalises raw POS data and computes margins, costs, and revenue breakdowns by location
- •Integrated an AI summarisation step that translates calculated metrics into plain-language insights and recommendations
- •Implemented a task scheduling system that triggers the pipeline on a configurable cadence and retries on transient failures
- •Added format validation and error handling to gracefully manage missing or malformed POS reports
- •Designed a clean, stakeholder-friendly report template that presents key metrics clearly without requiring financial expertise to interpret
- •Built a logging and audit system that records each pipeline execution, inputs received, and outputs generated
Results
- •Fully automated the restaurant reporting process — stakeholders now receive analytics reports on schedule without any manual effort
- •Eliminated the time the client previously spent manually extracting and processing POS data for each location
- •AI-generated insights help the client identify underperforming locations and cost inefficiencies proactively
- •Scheduled delivery ensures reports arrive consistently, improving business rhythm and decision-making cadence
- •Error handling and retry logic ensures the pipeline continues operating reliably even when POS reports arrive late or in unexpected formats
- •Stakeholder feedback confirmed the report format is clear and actionable without any financial background needed
- •Audit trail provides full traceability from source POS report to delivered analytics output