Boosting Competitive Price Ingelligence in Retail Space with Jsonify

This case study is an illustrative example based on industry best practices and common use cases. It demonstrates how an e-commerce retailer might use Jsonify to optimize pricing strategies through automation.

Introduction

A well-established supermarket chain with multiple locations sought a scalable solution to automate competitor price tracking and improve real-time pricing strategies. Ensuring price leadership required constant monitoring of competitor prices, but existing manual methods were inefficient and resource-intensive. This illustrative case study explores how Jsonify’s AI-powered data automation platform could optimize this process, reducing operational costs and improving decision-making.

Challenges

Before implementing an automated solution, the supermarket chain faced key challenges:

• Manual Price Tracking: Employees had to physically visit competitor stores and record prices weekly, a time-consuming and expensive process.

• Data Entry Bottlenecks: Prices were entered manually into spreadsheets, leading to errors and inefficiencies.

• Delayed Adjustments: By the time competitor price reports were compiled, the data was often outdated.

• Limited Market Coverage: The company could only track a handful of competitors at a time due to resource constraints.

"We spent countless hours on price collection, yet by the time we updated our prices, competitors had already changed theirs." – Pricing Manager

Objectives

To modernize and streamline its competitor price tracking, the supermarket chain aimed to:

• Automate data collection from competitor online stores and other sources.

• Reduce operational costs by eliminating manual tracking and data entry.

• Ensure real-time price competitiveness with frequent updates.

• Expand market coverage by tracking more competitors across multiple locations.

Solution

Jsonify provided the best automation solution that enabled the supermarket chain to:

• Automate competitor price scraping from online supermarket listings.

• Use AI-powered computer vision to extract pricing from store shelf images.

• Integrate pricing data directly into internal dashboards for real-time adjustments.

• Eliminate manual intervention, ensuring faster and more reliable price tracking.

"Jsonify’s automation has the potential to transform how supermarkets track pricing in real-time." – AI Automation Expert

Results

Once implemented, Jsonify’s automation provided measurable improvements:

✅ 4100% increase in update frequency with real-time price updates every 4 hours instead of once a week.
✅ 30% reduction in operational costs by eliminating manual price tracking expenses.
✅ 90% reduction in manual data entry, minimizing human error.
✅ Expanded competitor tracking from 5 to 15 supermarkets, offering deeper market insights.

"Automated pricing intelligence can provide a significant competitive advantage for retailers." – Industry Analyst

Unexpected Benefits

Beyond competitive price tracking, Jsonify is currently also being considered for:

• Supply Chain Optimization: AI-driven demand forecasting to optimize stock levels.

• Product Catalog Synchronization: Automated supplier website tracking to ensure updated stock availability.

• Customer Sentiment Insights: Analyzing customer reviews and social media trends to refine product offerings.

"Retailers that integrate AI-driven automation gain better insights, reduce costs, and stay competitive." – Retail Tech Consultant

Conclusion

This illustrative example highlights how a supermarket chain could leverage Jsonify to automate price tracking, improve efficiency, and enhance competitiveness. By adopting AI-driven automation, retailers can reduce costs, minimize manual processes, and make real-time pricing decisions with confidence.

To learn how Jsonify can help your business streamline operations and achieve similar results, visit jsonify.com.