The Client
The client is a global leader in in-flight food and merchandise retail, serving diverse customer segments across multiple flight routes.
The Challenges
- Dynamic Pricing Limitations: Frequent competitor price changes across flight segments left the client unable to adjust prices dynamically, creating challenges in remaining competitive.
- Manual Data Extraction: Competitor pricing data was scattered across websites and airport brochures, requiring intensive manual efforts to extract, compare, and map to internal SKUs.
- Revenue Loss: This inefficiency resulted in:
- Over-pricing in some segments, leading to lower sales.
- Under-pricing in other segments, leading to lost revenue.
The Objective
- Automate the ingestion and processing of competitor pricing and product data from structured and unstructured sources.
- Develop a scalable solution to compare competitor prices with internal SKUs effortlessly.
- Enable commercial managers to make real-time pricing decisions, driving profitability and market competitiveness.
The Solution
- JK Tech’s JIVA solution leveraged Generative AI to extract, process, and analyze pricing and product data from competitor websites, brochures, and internal systems.
- Unified data sources and automated mapping of competitor information to internal SKUs, reducing manual effort.
- Provided actionable insights by identifying key pricing differences through natural language queries, simplifying analysis for commercial teams.
- Enabled dynamic adjustments to pricing strategies based on real-time competitive intelligence.
The Benefits
- Eliminated manual processes, significantly reducing time and effort spent on competitor analysis.
- Optimized pricing strategies led to improved sales and reduced revenue losses caused by over- or underpricing.
- Automated workflows freed up commercial managers to focus on strategic decision-making.
- The AI-powered system ensured consistent, high-quality results, supporting long-term business growth and adaptability to market trends.
