Matthew, the COO of a fast-growing national restaurant chain, was an early advocate for AI, but his initial GenAI implementation quickly hit a wall. His core challenge was bridging the gap between his executives’ complex business questions and the vast, structured data locked within the organization’s databases.
- The Optimization Gap: Teams lacked the operational data needed to assess the current and historical financial performance of individual restaurants.
- The Forecasting Problem: Existing systems were unable to process the detailed, multi-faceted data (finances, HR, operations) to provide data-driven recommendations.
- The Supply/Demand Fluctuation: Existing tools couldn’t correlate historical data with real-time business constraints such as sudden shifts in local demand, to provide meaningful recommendations about inventory levels and order management.
The Solution: Leveraging eRAG with ChatGPT for Real-time Data Exploration
Matthew’s team implemented eRAG, which combines the power of real-time operational data with ChatGPT’s user experience. eRAG allows Mathew and his colleagues to spontaneously chat with and explore multiple complex data sets in natural language.
As Matthew notes: “We can access the sales and other relevant sales information in a less time than it takes to make a cappuccino. eRAG’s insights enable us to optimize operations in our lower performing locations.”
Thanks to eRAG, Mathew and his team have completely changed the way they interact with data and manage their everyday operations.:
- Real-Time Performance & Forecasting
- Real-time Pulse on the Business: Executives can now instantly “drill down” into the expenses and revenue of any restaurant. For instance, an executive could ask: “Show me the year-over-year profit margin for the Chicago-North location versus the national average for Q2.” This provides a real-time overview of current and historical performance that was previously inaccessible without a dedicated analyst.
- Data-driven Strategic Expansion: By querying eRAG on the performance of existing locations, they could ask: “Which top-performing suburban locations show a correlation between high revenue and low labor costs?” eRag quickly analyzes and synthesizes data across finance and HR databases, providing data-driven insights to accurately plan future restaurant locations.
2. Operational Planning and Increased Efficiency
- Actionable Forecasts: eRAG successfully tackled the complex correlation challenge required for efficient operational planning, and delivers visualized results and data exploration angles via Chat GPT. In one case, Matthew asked: “Based on the historical data, what was the average spike in takeout orders and required staffing for the three locations near the Arena during weekend concert events over the past year?” This provided the crucial info needed to optimize staffing schedules and supplies for future events: The result: significant savings achieved by optimizing supplies and staffing needs.
3. Regulatory and Financial Compliance
eRAG’s integration with ChatGPT adds a layer of external intelligence for financial and legal validation.
- Compliance Verification: Executives can query relevant tax and other legislation (e.g., local sales tax changes or employment law updates) that might affect their accounting considerations. This use of external GenAI insights alongside internal data helps improve efficiency and ensure financial and regulatory compliance.
The Bottom Line: Thousands of Dollars Saved Thanks to Optimized Business Operations
By adopting the specialized capabilities of eRAG together with the amazing user experience of ChatGPT, this restaurant chain transformed its siloed data into a unified source of operational and strategic intelligence, allowing them to optimize existing operations and make highly accurate, data-backed decisions about their future growth. The bottom line: thousands of dollars in savings and data-driven strategic planning for future growth.
About eRAG
eRAG combines the power of real-time operational data with ChatGPT’s amazing user experience. With eRAG, you can get accurate consistent answers and carry out intuitive data exploration with your operational structured data. eRAG gives you immediate answers visualized as graphs, tables, and summaries. It gives you insights and explores additional angles. It even uses AI agents to suggest actions, based on situational data analysis.
