gScout
Real-time F&B data: Empower your restaurant with actionable insights
01 SUMMARY
While working at Grubtech, I collaborated closely with Product Managers to identify a critical gap in the food and beverage industry: the underutilization of data. We observed firsthand, through our work with leading brands like Burger King, Subway, and Domino’s, that restaurants were overwhelmed by data silos and struggled to leverage insights for competitive advantage.
This observation led us to conceptualize a data-driven solution that empowers restaurants to make informed decisions and gain a competitive edge. I played a key role in translating this vision into a user-centric product by leading the design of GrubTechs’ gScout platform.
OTHER CONTRIBUTORS
Business analysts, Engineering leads and Product manager.
02 MY ROLE
I worked with the Product manager and BA functions to brain storm and conceptualise the idea of a real-time F&B data platform. This involved conducting thorough market research and competitive analysis to understand the evolving needs of the industry.
I then led the design process, creating a robust design system, and developing user flows and high-fidelity prototypes that effectively addressed the challenges identified during the initial research phase.
03 THE PLAN
PROBLEM STATEMENT
Restaurants face significant challenges in effectively leveraging data due to information overload and the time-consuming nature of market research, hindering their ability to make informed decisions and gain a competitive advantage.
WHAT IF
What if we could empower restaurants to make data-driven decisions by creating a platform that transforms raw data into actionable insights through an intuitive dashboard with easy-to-understand visualizations?
04 DISCOVERY
MVP Solution
The following features were identified for inclusion in the MVP of the platform:
Dashboard
Centralized Hub: A central dashboard for quick and easy navigation between different modules.
Price Optimizer
Competitive Pricing Analysis: Enables businesses to compare their menu prices with competitor averages, lows, and highs.
Competitor Analysis:
Advanced Filtering: Allows businesses to filter and search for competitors based on location, cuisine, menu items, integrated platforms, food aggregators, ratings, promotions, and average delivery fees.
Detailed Competitor Profiles: Provides in-depth information on competitors, including menus, ratings, reviews, sentiment analysis, popular products, and recent actions (e.g., price updates, new menu items).
Competitive Monitoring: Enables businesses to follow competitors and receive alerts and notifications on their activities.
Operational Monitoring & Optimization:
Key Performance Indicators (KPIs): Displays key metrics such as 86ed items, store ranking, store open/closed status, and cancelled orders.
Sales Analysis: Provides insights into top-selling and least-selling items, as well as hourly sales analysis.
AI-Powered Insights:
AI-Driven Recommendations:Leverages AI to provide personalized price and promotion recommendations based on historical data and competitor actions.
05 PROTOTYPING & TESTING
WIREFRAMING
We created wireframes and prototypes to visualize the tool’s layout and functionality. These prototypes were tested with users to gather feedback and make necessary adjustments.
TESTING TAKEAWAYS
Testing revealed a strong demand for a “draw on map” feature to enable users to target specific regions for their marketing efforts.
The ability to view competitor promotions and campaigns emerged as a critical feature for competitive intelligence.
Users emphasized the need for a store audit feature that includes metrics such as prep time, delivery time, order acceptance rate, and operating hours.
Users highlighted the need for a feature that alerts businesses to missing information on third-party platforms, ensuring consistent and accurate brand representation.
06 SOLUTION
The All-in-one competitors tracking solution brings all restaurant touchpoints to your fingertips through a single dashboard.
