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Case Study · Distribution & E-Commerce

Dynamic AI Pricing & Quotation Dashboard for B2B Sales

Predictive ML pricing model and real-time quotation dashboard dropping B2B custom quote generation times from 48 hours to 15 seconds.

Primary Outcome

Quote generation time dropped from 48 hours to 15 seconds, increasing sales proposal wins by 28%.

Background

The Challenge

Sales representatives took up to 48 hours to generate custom bulk order quotes because they had to manually calculate supplier cost fluctuations, stock levels, and client tier discounts.


Engineering Solution

The Solution

Engineered an automated quote creation dashboard powered by real-time margin calculation and ML supplier price forecasting.

Quotation Dashboard

Client-facing quoting interface integrated with a live admin portal where sales managers approve high-value quotes in seconds.

Predictive Pricing Model

ML models analyzing supplier costs, historical order frequency, and market prices to calculate optimal profit margins.

High-Throughput Cloud

Built with Redis caching, PostgreSQL clustering, and high-security API gateways to handle spike trading loads.


Impact

Key Outcomes

Quote generation time dropped from 48 hours to 15 seconds.

Sales proposal win rate increased by 28%.

Real-time profit-margin optimization based on market supplier costs.

High-throughput Redis caching handling spike trading volumes.

Case Study Overview

Client Profile

ClientUK WHOLESALER
IndustryDistribution & E-Commerce
CategoryAI-Powered Web Applications

Technology Stack

PostgreSQLRedisNext.jsPython MLAWS API Gateway
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