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Fixing Manual Breakdowns: How AI Transforms FMCG Invoice Management

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A fast-moving consumer goods (FMCG) giant with an extensive distribution network across multiple regions was facing significant challenges in managing invoice reconciliation. With thousands of invoices generated daily between suppliers, distributors, and retailers, the process was highly manual, error-prone, and time-consuming directly affecting cash flow and partner relationships.

The Challenge

The client’s finance and accounting teams spent excessive time reconciling invoices with purchase orders, goods receipt notes, and payment records. Key pain points included:
  • High Error Rates: Manual data entry caused frequent mismatches between invoices and purchase orders.
  • Delayed Payments: Errors and discrepancies slowed down settlement cycles, frustrating suppliers and distributors.
  • Revenue Leakage: Inaccurate reconciliation led to duplicate payments and missed credit opportunities.
  • Lack of Visibility: Finance leaders struggled to gain real-time insights into pending reconciliations and dispute resolution.
The client needed a scalable, intelligent automation solution to minimize errors, accelerate reconciliation, and improve partner trust.

The Solution: Amantra Intelligent Invoice Reconciliation

Amantra implemented an AI + RPA-based reconciliation solution to automate end-to-end invoice processing and validation:
  • Automated Invoice Capture
    • Intelligent Document Processing (IDP) extracted key fields (invoice number, PO number, line items, taxes) from both structured and unstructured invoices.
    • Validation rules checked data accuracy at entry.
  • Smart Matching Engine
    • AI-powered matching compared invoices against purchase orders, GRNs, and contract terms.
    • Exceptions were auto-flagged for review, reducing human intervention.
  • Duplicate & Fraud Detection
    • Automated checks prevented duplicate invoices and flagged anomalies for early fraud detection.
  • Workflow Automation
    • Exceptions were routed to the right stakeholders with supporting evidence.
    • Approved invoices were auto-posted into the ERP for payment processing.
  • Real-Time Analytics & Reporting
    • Dashboards gave finance leaders visibility into reconciliation status, pending disputes, and cycle times.

Business Impact

The automation initiative delivered measurable outcomes:
  • 90% Reduction in Errors: Automated validation eliminated manual mismatches and data-entry mistakes.
  • 3x Faster Reconciliation: Invoice processing time dropped from weeks to days.
  • Improved Cash Flow: Faster settlements reduced working capital bottlenecks.
  • Stronger Partner Trust: Accurate and timely payments improved relationships with suppliers and distributors.
  • Scalability: The solution handled large invoice volumes during seasonal demand spikes without additional manpower.

Conclusion

By automating invoice reconciliation, the FMCG company eliminated costly manual errors, accelerated payment cycles, and unlocked financial accuracy at scale. With Amantra AI-driven reconciliation agents, the finance function shifted from being reactive and error-prone to proactive, reliable, and future-ready.