Operational impact

Vendor support and measurable Accounts Payable outcomes

The product does not stop at extraction and validation. It also supports suppliers across channels and demonstrates production-scale performance in a high-volume retail deployment.

1.5M invoices annually
6M pages processed
100% compliance target

Vendor support

AI-powered supplier assistance across email, chat, voice, and portal workflows

The support layer handles routine supplier interactions with context-aware responses, reducing load on Accounts Payable teams while giving vendors better visibility into invoice and payment status.

  • Invoice status, payment status, remittance details, and reconciliation checks
  • Monthly and quarterly invoice summaries, balances, and payment history
  • Pricing discrepancy responses grounded in PO terms, pricing rules, and prior communication
  • Vendor portal workflows for disputes, master updates, and compliance document uploads
Multi-modal Understands text, attachments, PDFs, and spoken requests in a shared support flow
Self-service Gives suppliers real-time lifecycle tracking, payment schedules, and dispute visibility
Operational relief Cuts repetitive status-query volume while keeping supplier communication available around the clock

Case study

Scaling Accounts Payable automation for a high-volume e-commerce retailer

Illustration of Accounts Payable automation for a high-volume e-commerce retailer

The challenge

The retailer had to process 1.5 million invoices and more than 6 million pages each year, with wide vendor variation and poor image quality causing manual entry backlogs and delayed payments.

The solution

insors deployed AI agents for ingestion, extraction, validation, and 3-way matching, while enforcing GSTIN, PAN, IRN, and broader regional compliance requirements.

The result

End-to-end processing dropped to around 3 minutes per invoice, with rapid quality gains from continuous training and a high share of straight-through processing at scale.

Learning curve

Accuracy improved fast as exception data fed the model

Day 1 70%+

document-level accuracy with 85%+ field-level accuracy from the bootstrap model

Near real time 80%+

document-level accuracy after adapting to vendor-specific exceptions

Long term 87%+

document-level accuracy sustained through ongoing batch training cycles

The end state is a compliant Accounts Payable function that can absorb large invoice volumes without relying on manual rekeying to recover from low-quality source documents.

Return to overview