AI-Powered Email Intelligence Cuts Manual Validation Effort by 80%
FMCG, Operations, Email Automation
Background
A global food and beverage giant with a complex retail supply chain was experiencing operational inefficiencies due to fines and delivery-related disputes. Manual review of emails and attachments linked to purchase orders (POs) resulted in high effort, delayed resolutions, and increased compliance risk.
Impact
- 80% reduction in manual effort for email and fine validation
- Faster and more accurate dispute resolution
- Improved audit readiness and full PO lifecycle transparency
- Lower compliance risk through consistent, automated workflows
Solution
Affine implemented an AI-powered email parsing and validation engine to automate fines dispute workflows:
- Leveraged Azure OpenAI (GPT models with custom prompt engineering) to extract PO details, delivery acknowledgments, and exception indicators from emails and attachments (.xls, .eml)
- Built a recursive content pipeline to process both structured and unstructured formats across diverse customer communications
- Validated extracted fields and stored them in Snowflake for downstream analysis
- Integrated auto-verification logic to detect hallucinations and flag data inconsistencies
- Delivered outputs via dashboards and reports to supply chain and finance teams for faster decision-making
Impact
- 80% reduction in manual effort for email and fine validation
- Faster and more accurate dispute resolution
- Improved audit readiness and full PO lifecycle transparency
- Lower compliance risk through consistent, automated workflows
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