Customisation to re-engineer processes. Implement machine learning automations

Customer Challenge

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A leading international sportswear brand faced complexities in purchasing, finance and stock control operations. Managing long supply chains across global factories for hundreds of thousands of items required complex processes. Inventory was distributed to multiple warehouses, necessitating precise calculations for tolerances and adjustments prior to arrival. 

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Pre-warehousing, multiple departments were responsible for data processing and validation in multiple systems. This multi-layered process required lots of management attention and was prone to inefficiencies, errors and reactive corrections to financial information.

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Solution Provided

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Kanbina collaborated closely with the client to tailor its AI-driven SaaS to the client's specific workflows. By deploying components of Kanbina's Intelligent Document Processing, Accounts Payable and PO modules, the system was configured to enhance data, streamline accounts processing, and automate purchase order and invoice approvals and allocations.

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This integration enabled supply chain and internal departments to access real-time information ahead of shipments, mitigating unforeseen costs. Leveraging machine learning models, the system proactively identified and rectified discrepancies in purchase order data, ensuring accuracy before errors could propagate.

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Impact of Solution

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​The implementation led to significant improvements:

• Enhanced Accuracy: Achieved high match rates on complex documentation through the AP system into NetSuite.

• Cost Reduction: Early detection of inconsistencies prevented hidden costs associated with product over/under supply and additional shipping expenses.

• Operational Efficiency: Re-engineered processes to reduce interventions, accelerating the procurement-to-payment cycle.

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Technologies used:

• Intelligent Document Processing, Kanbina Accounts Payable and PO modules, customisations​