• Category :

  AI, eCommerce, Product, Web

• Date :

  Feb . 10 . 2023

• For:

  eCommerce Automotive Business - AI Powered Pricing Engine

🚗 The Challenge

VavaCars (a Vitol subsidiary and major automotive buyer/seller with ~$1bn revenue) needed to provide fast, accurate offers across its 100+ inspection centres to ensure profitability. However, pricing teams were bogged down manually analysing 100s of data points per vehicle against real-time market shifts, creating a critical bottleneck in the buying (C2B) and selling (D2C/B2B) lifecycle.

📊 The Bottlenecks

🕒 Slow & Inconsistent Process: Manual analysis delayed customer offers and led to pricing inaccuracies.

📉 Inability to Scale: The existing method couldn’t adapt quickly to live market data or handle high volume efficiently.

📊 Operational Risk: Slow pricing risked losing customers and impacted inventory turnover speed.

💡 The Solution: AI/ML Pricing Engine

Launched a dynamic pricing engine that used machine learning and AI to analyse real-time data and automatically calculate optimal buy, refurbishment, and sell prices.

🤖 Core Engine Features:

📊 Real-Time Market Analysis: Continuously ingested and analysed live market data.

🤖 Automated Buy/Sell Pricing: Generated optimal prices by analysing the specific car’s inspection data, competitor listings, historic trends, and future predictions.

⚡ Dynamic Repricing Bots: AI-driven automation that continuously adjusted live eCommerce listing prices across the D2C, B2B and external market places.

✅ The Results

⏱️ 90% Reduction in Pricing Time: Slashed manual effort for pricing teams.

💰 Optimised Margins: Enabled smarter, data-driven margin control.

⚡ Increased Operational Speed: Dramatically accelerated vehicle acquisition and sales cycles.

📈 Enhanced Revenue: Dynamic repricing maximised sales opportunities.

😃 Improved Customer Satisfaction: Customers received accurate offers instantly, eliminating long wait times.

Impact: Transformed pricing from a manual bottleneck into a scalable, automated advantage, crucial for profitability and customer experience in a fast-paced market.

Technologies: Machine Learning (ML), Artificial Intelligence (AI), Data Analytics, eCommerce Integration, Automated Workflows.

All data in the screenshots are from a sandbox, so no real customer or car data is shown