Eliminating Manual Errors in Order Processing with AI Agents
Client Challenge
The client’s order management process, despite having a robust ERP and CRM ecosystem, remained heavily manual, resulting in inefficiencies and frequent errors.
Key pain points included:
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Incorrect SKU or Quantity Entries: Manual data entry led to order inaccuracies.
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Price Mismatches & Billing Errors: Frequent misalignments caused customer dissatisfaction and revenue leakage.
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Delayed Confirmation & Dispatch: Processing delays slowed order fulfillment and impacted customer experience.
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Escalations Due to Misaligned Inventory: Errors in inventory data created additional rework and operational overhead.
These challenges led to rising operational costs, higher rework, dissatisfied customers, and lost revenue, highlighting the need for a smart, automated, and error-proof order management solution capable of scaling with growth.
Amantra Solution
Amantra implemented a tailored Agentic AI-driven order processing solution designed to eliminate errors, accelerate workflows, and provide end-to-end visibility across the order lifecycle.
Key Solution Components:
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Intelligent Document Processing (IDP): AI agents extracted structured order data from unstructured inputs such as emails, PDFs, and EDI files, removing the need for manual data entry.
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Smart Validation Rules: Orders were automatically cross-verified against master data—inventory, SKUs, pricing, and discounts—before approval to prevent errors.
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Seamless System Updates: Validated orders were instantly updated across ERP, CRM, and warehouse management systems, ensuring consistency and reducing delays.
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Exception Handling with Human-in-the-Loop: Complex or anomalous orders were flagged for manual review, maintaining operational accuracy while ensuring business continuity.
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Learning Agents: AI continuously adapted and improved by learning from historical corrections, evolving validation rules, and feedback loops, enhancing accuracy over time.
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End-to-End Visibility: Real-time dashboards provided operations, finance, and sales teams with insights into order status, exceptions, and fulfillment metrics.
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Scalability & Speed: The system enabled processing of large order volumes efficiently, supporting peak demand periods without adding headcount.
This solution transformed order management into a fast, accurate, and fully auditable process, reducing operational costs, errors, and cycle times while improving customer satisfaction.
Business Impact
The transformation was immediate and measurable:- 99% Order Accuracy – virtually eliminating manual errors.
- 70% Faster Processing – reducing average order cycle time significantly.
- 40% Cost Reduction – minimizing rework, escalations, and manual intervention.
- Higher Customer Trust – with timely confirmations and reliable deliveries.
- Future-Ready Scalability – enabling thousands of orders per day without additional manpower.