How Softweb Solutions transformed quoting for a global supply chain provider using AI

Comprehensive price file management with high-volume line item processing

We built a centralized price file management module that enables the client to regularly analyze and distribute price files across active and quotable customer materials. The system connects supplier cost data with resale pricing logic in a single processing pipeline. Any update to supplier pricing automatically propagates to the relevant customer quotes and active LTAs.

The solution scaled processing capacity to handle up to 2,000 LTAs and 60,000 line items within a single price file run. Operations that previously took days of manual compilation now execute as scheduled background jobs. It frees the pricing team to focus on exceptions and high-value accounts.

Serverless background services for continuous quoting workflow execution

Our team implemented Azure Functions-based background services to handle quote processing alongside re-pricing jobs and data synchronization tasks. These serverless services are triggered automatically by pricing update events or schedule cycles, or by data ingested from supplier feeds.

Background services also handle exception management as well as retry logic and error notification routing. When a data discrepancy or processing failure occurs, the right person receives an alert. The system maintains processing continuity during high-volume peak periods, which was a persistent pain point the client faced with their previous manual workflows.

Centralized quote governance, KPI tracking, and approval workflow engine

We built a governance layer that centralizes the authorization process for quotes and price file submissions. Every quote follows a defined approval path based on margin thresholds, account tier, and quote complexity. Sales managers review flagged quotes before they reach customers, and every approval action is logged in a full audit trail.

The governance engine enforces sales cost policies that were difficult to apply at scale. Expired or missing supplier rebates and discounts are surfaced automatically, so the finance team can address them before they affect margin calculations. The shift from reactive policy enforcement to a proactive process gave the client confidence in the integrity of every quote that leaves the business.

Scalable Azure Kubernetes Service deployment for enterprise-grade reliability

Our team used Azure Kubernetes Service (AKS) to handle workload spikes during peak quoting cycles. The architecture supports rolling updates and zero-downtime deployments, which keeps the platform available during the continuous sales cycles the client runs.

Azure SQL and Cosmos DB support the platform’s data layer, with SQL managing structured pricing and customer data. Cosmos DB handles high-throughput quote transaction storage. Such a dual-database strategy ensures query performance stays consistent as quote volumes scale.