Glovo: From Manual Analysis to Real-Time Intelligence

Glovo is one of Europe's largest delivery platforms, operating across dozens of countries. They provide delivery of food, groceries, and other products from local stores and restaurants, connecting millions of customers with their favorite local businesses.

With massive operational scale and the need to adapt dynamically to local market conditions, Glovo needed a tool for continuous intelligence gathering about restaurants present on competing platforms, while monitoring their own partners' behavior regarding pricing, customer reviews, and marketplace presence strategies.

Key business challenges:

1. Identifying restaurants exclusive to competitors Without a way to quickly pinpoint establishments operating on Pyszne, Wolt, or Uber Eats, expanding their restaurant portfolio and local market penetration became guesswork rather than strategy.

2. No continuous monitoring of pricing and delivery terms Restaurants frequently modified prices, promotional campaigns, and logistics conditions (like minimum order values), directly affecting Glovo's competitive positioning in local markets.

3. Limited visibility into customer reviews and feedback The lack of systematic analysis of reviews across Google Maps and delivery platforms prevented Glovo from responding to real service quality issues that could impact their brand reputation.

4. Outdated manual data analysis methods Data collection was time-consuming, poorly scalable, and didn't allow for real-time optimization of operational and commercial activities across different markets.

Applied products and technologies:

Marketplace Presence Index

• Analysis of restaurant presence across 4 major platforms (Wolt, Uber Eats, Pyszne, Glovo)
• Tracking presence changes over time
• Competitor-exclusive restaurant identification

Price and Delivery Terms Monitoring

• Automated menu data collection: prices, minimum order values, operating hours
• Promotional campaign tracking
• Delivery fee monitoring across platforms

Review and Sentiment Analysis Module

• Review classification (food quality, service, delivery time)
• Average ratings and review volume tracking
• BERT-based sentiment analysis for deeper insights

Location and Operational Data from Google Maps

• Business status, photos, location, contact information
• Operating hours and service availability
• Customer traffic patterns

Technologies used: AI/NLP (BERT-based models), advanced web data collection, sentiment classification, automated scheduling systems

Data sources: Wolt, Uber Eats, Pyszne.pl, Google Maps

1. Zero IT Integration - Rapid Adoption

Reports delivered in CSV format directly to the client's cloud infrastructure, ready for immediate use by operational and sales teams without any technical setup requirements.

2. Nowcasting Instead of Static Analysis

Weekly data updates eliminate delays in competitive analysis and partner monitoring, enabling immediate response to market changes rather than reactive adjustments weeks later.

3. Complete Restaurant Profiles from Multiple Sources

Comprehensive intelligence about establishments - both partners and competitors - integrated into a single data structure, providing 360-degree market visibility.

4. Foundation for Operational Dashboard Development

Data infrastructure ready for building internal BI tools for local market analysis and restaurant partnership quality assessment in future project phases.

Better Operations

• 100% automation of competitive intelligence gathering
• Analysis time reduced from days to hours, freeing up teams for strategic work

Smarter Investment Decisions

• Precise targeting of restaurants operating exclusively with competitors
• Improved lead qualification for partnership opportunities
• Data-driven market entry strategies for new locations

Daily Usage & Continued Partnership

• Cyclical reports became the foundation for sales and operational activities
• Partnership expansion to additional data categories and markets
• Zero churn - continued collaboration across multiple project phases

More Responsive Market Strategy

• Real-time reaction to competitor pricing changes
• Immediate identification of partnership opportunities
• Faster adaptation to local market dynamics

This partnership demonstrates how modern market intelligence creates value beyond operational improvements:

Faster Response: React to market changes in real-time instead of discovering them weeks later through traditional reporting.

Less Risk: Make partnership and pricing decisions based on complete market data rather than incomplete information or assumptions.

Better Customer Experience: Optimize restaurant selection and delivery terms based on actual customer feedback patterns and competitive positioning.

Market Advantage: Maintain comprehensive visibility into local delivery ecosystems, accessible at any moment for strategic decision-making.