Automated Competitor Price Benchmarking for Retail Decision-Making

Business Challenge

A large retail organization needed daily competitor price visibility across thousands of products sold by major competitors such as Dmart and JioMart. The existing process relied on manual data collection and spreadsheet analysis, consuming several hours every day and limiting the team's ability to respond quickly to market price changes.

• Manual price tracking across multiple competitors
• Delayed visibility into price gaps
• Time-consuming reporting process
• Limited ability to take timely pricing decisions
• High dependency on manual effort

Solution

Padma Analytics designed and implemented an automated competitor price benchmarking platform using Python and cloud infrastructure. The entire workflow was automated and scheduled to run daily without manual intervention.

• Extracted competitor pricing data
• Processed and validated product information
• Matched products against internal catalogues
• Calculated price differences and competitiveness metrics
• Generated management-ready reports and dashboards
• Delivered actionable insights for category and pricing teams

Technology Used

Business Impact

The solution transformed competitor price monitoring from a manual activity into a fully automated business process.

• Faster pricing intelligence
• Improved decision-making speed
• Better visibility into market competitiveness
• Reduced manual effort for category teams
• Consistent and scalable monitoring process

Results