AI-powered invoice verification and warranty activation
Havells operates 14,000+ dealers across channels-85% of sales are offline. Each channel partner has different invoice formats and record-keeping practices.
Invoices vary dramatically: many are handwritten, pre-printed with custom layouts, or digitally generated in multiple formats. Standard OCR tools fail on non-standard layouts.
Current OCR limitations require manual verification, which is slow, subjective, and expensive-creating a barrier to quick warranty activation and poor customer experience.
AI-generated fake invoices are becoming harder to distinguish. Invoice numbers vary across dealer sequences (no global validation possible), making authenticity verification critical.
A 10-step intelligent workflow that combines form collection, AI verification, GST/dealer validation, and human review for fast, accurate warranty registrations.
The AI verification workflow isn't just for consumer-facing registration. The same pipeline integrates directly into Dynamics 365 - where Havells' internal support team currently reviews invoices manually.
When a team member opens a registration in Dynamics 365, they see the AI-analyzed results: extracted fields with confidence scores, tampering flags, serial number validation status, and duplicate invoice alerts. Instead of manually inspecting each invoice from scratch, they review pre-analyzed data and make a decision in seconds.
This means both paths - consumer self-registration (WhatsApp/Web/Email) and internal team processing - run through the same verification engine with the same standards. No discrepancies between what the AI catches and what the human team reviews.
Third-party APIs specialized in document forensics detect pixel-level manipulation, metadata inconsistencies, compression artifacts, and layer detection in PDFs and images. Catches edits that are invisible to the human eye.
Gemini 3.0 Flash reasoning engine handles product name variations across dialects and languages. "AC" = "Air Conditioner" = "एसी", "WM" = "Washing Machine" = "वाशिंग मशीन", "1.5T" = "1.5 Ton".
Cross-validates the consumer-provided serial number against Havells' dispatch database. Confirms the serial belongs to the same product category and model described on the invoice. Catches mismatches where someone registers Product A but uploads an invoice for Product B.
Every incoming invoice is matched against all previously registered invoices. Same invoice image (visual similarity) or same invoice number + dealer combination = immediate rejection. Prevents the same invoice from being used for multiple registrations.
Extracts camera metadata (timestamp, device model) from uploaded invoice photos. Compares timestamp against claimed purchase date. Flags images with stripped metadata or software-created origins (Photoshop, Canva, AI tools).
Every extracted field gets a confidence score. Auto-approve registrations >90%, flag 70-90% for fast human review (30 seconds), reject <70%. Full audit trail for compliance.