Implementing AI driven Quotation Solutions | Custom AI Quotation Solution
 

Customer Background

Our client, a key player in the supply chain industry. With a vast network of retail partners, they focus on optimizing supply chain management, enhancing inventory accuracy, and streamlining pricing strategies. Their commitment to innovation and efficiency positions them as a leader in the dynamic retail landscape, continuously seeking advanced solutions to meet the evolving demands of their customers.

  • Industry

    Supply chain

  • Technologies / Platforms / Frameworks

    Azure Functions, Azure Kubernetes Service, Azure Cloud, .NET 6.0, Entity Framework 6.0, ODATA, CosmosSDK

Challenges

Legacy system limitations

  • The complex or multi-faceted quote scenarios in their legacy system was inadequate for handling large volume quotes for LTAs.
  • Teams were forced to resort to manual processes, leading to errors and inaccurate cost and resale calculations.

Operational inefficiencies

  • Manual processes resulted in significant cycle time and quality impacts.
  • The lack of centralized quoting and authorization processes hindered the establishment of metrics, KPIs, and audit trails.

Delayed shipment

  • Legacy systems did not offer an in-depth view of their logistics operations.
  • They had to rely on manual efforts, often leading in delayed shipments.

Solutions

Automation and AI integration

  • Deployed an AI-driven system to automate the creation, processing, and updating of LTA/customer price file style quotes, drastically minimizing manual interventions and boosting user productivity.
  • Our AI automation solution improved the speed and accuracy of both quoting and re-quoting processes.
  • Established robust quote governance, metrics, and KPIs.

Comprehensive price file management

  • Enabled the company to regularly obtain, analyze, and provide price files for all active and quotable customer materials.

Increased processing capability to handle up to 2,000 LTAs and 60,000 line items within a single price file.

Implementation of background services

  • The Softweb team has implemented background services to meet the outlined requirement.

Leveraged Azure components

  • Azure Functions: Serverless computing to run background services efficiently.
  • Azure SQL and Cosmos Database: For robust data storage and management.

Deployment with Azure Kubernetes Service (AKS)

  • All services are deployed using AKS for scalable and manageable application deployment.

Benefits

Operational efficiency

  • Accelerate the quoting and re-quoting processes with greater accuracy.

Strengthen quote governance through the implementation of key metrics and KPIs.

Financial gains

  • Improve margins through effective enforcement of sales cost policies.
  • The company can recognize and address expired or missing supplier rebates and discounts efficiently.

Overall productivity

  • Significantly reduce manual touchpoints, leading to improved overall user productivity.
Diagram

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