Alteryx Helps Chipotle Find, Open, and Maintain Profitable Stores
Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- Alteryx Analytics
Tech Stack
- Data Integration
- Data Analytics
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Cost Savings
Technology Category
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Food & Beverage
Applicable Functions
- Business Operation
Use Cases
- Supply Chain Visibility
- Real-Time Location System (RTLS)
Services
- Data Science Services
About The Customer
Chipotle Mexican Grill is a fast-casual restaurant chain that opened its first store in 1993. The company's philosophy, food with integrity, is how the company defines its strategy for improving the food it buys, whether it's better tasting, coming from better sources, better for the environment, better for the animals or better for the farmers who raise the animals and grow the produce. The company prides itself on high-quality raw ingredients, classic cooking method, distinctive interior design, and friendly people to take care of each customer. As a fast-growing company, Chipotle has steadily increased the number of restaurant openings per year.
The Challenge
Chipotle’s real estate managers were spending a significant amount of time interacting with static datasets to analyze potential revenue and targeted markets for prospective restaurant sites. The company needed a more efficient way to deploy timely sales forecasting data and its complex site-location selection model to its brokers. The existing system was time-consuming and the relevant up-to-date data was not always readily accessible to all employees. The key to securing prime real estate for restaurants is the speed at which new locations are targeted and developed. Chipotle was seeking a system that could more efficiently deploy sales forecasting tools and its complex site location selection model in a browser instead of requiring employees in the field to search, select, and input data into multiple laptop programs.
The Solution
The new Chipotle solution uses Alteryx Analytics to integrate the most current data and allow for the flexible updating of data and analytic components from previously disconnected procedures and programs using a single, optimized Alteryx application. Operations staff no longer need to manually enter additional site data and information specific to a location into a series of disconnected tools. Now, Chipotle real estate managers have the ability to quickly apply their complex site analysis model and sales forecasting system to review proposed locations using consistent and up-to-date datasets in a fraction of the time, and their valuable efforts are more focused on the real estate transactions. Real estate managers now use Alteryx to input parameters and identify scenarios in preparation for field visits. It allows managers to enter sites and choose the reports they want to run in just minutes, as opposed to the hour it took previously.
Operational Impact
Quantitative Benefit
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
The Kellogg Company
Kellogg keeps a close eye on its trade spend, analyzing large volumes of data and running complex simulations to predict which promotional activities will be the most effective. Kellogg needed to decrease the trade spend but its traditional relational database on premises could not keep up with the pace of demand.
Case Study
HEINEKEN Uses the Cloud to Reach 10.5 Million Consumers
For 2012 campaign, the Bond promotion, it planned to launch the campaign at the same time everywhere on the planet. That created unprecedented challenges for HEINEKEN—nowhere more so than in its technology operation. The primary digital content for the campaign was a 100-megabyte movie that had to play flawlessly for millions of viewers worldwide. After all, Bond never fails. No one was going to tolerate a technology failure that might bruise his brand.Previously, HEINEKEN had supported digital media at its outsourced datacenter. But that datacenter lacked the computing resources HEINEKEN needed, and building them—especially to support peak traffic that would total millions of simultaneous hits—would have been both time-consuming and expensive. Nor would it have provided the geographic reach that HEINEKEN needed to minimize latency worldwide.
Case Study
Energy Management System at Sugar Industry
The company wanted to use the information from the system to claim under the renewable energy certificate scheme. The benefit to the company under the renewable energy certificates is Rs 75 million a year. To enable the above, an end-to-end solution for load monitoring, consumption monitoring, online data monitoring, automatic meter data acquisition which can be exported to SAP and other applications is required.
Case Study
Coca Cola Swaziland Conco Case Study
Coco Cola Swaziland, South Africa would like to find a solution that would enable the following results: - Reduce energy consumption by 20% in one year. - Formulate a series of strategic initiatives that would enlist the commitment of corporate management and create employee awareness while helping meet departmental targets and investing in tools that assist with energy management. - Formulate a series of tactical initiatives that would optimize energy usage on the shop floor. These would include charging forklifts and running cold rooms only during off-peak periods, running the dust extractors only during working hours and basing lights and air-conditioning on someone’s presence. - Increase visibility into the factory and other processes. - Enable limited, non-intrusive control functions for certain processes.
Case Study
Temperature Monitoring for Restaurant Food Storage
When it came to implementing a solution, Mr. Nesbitt had an idea of what functionality that he wanted. Although not mandated by Health Canada, Mr. Nesbitt wanted to ensure quality control issues met the highest possible standards as part of his commitment to top-of-class food services. This wish list included an easy-to use temperature-monitoring system that could provide a visible display of the temperatures of all of his refrigerators and freezers, including historical information so that he could review the performance of his equipment. It also had to provide alert notification (but email alerts and SMS text message alerts) to alert key staff in the event that a cooling system was exceeding pre-set warning limits.
Case Study
Coca-Cola Refreshments, U.S.
Coca-Cola Refreshments owns and manages Coca-Cola branded refrigerators in retail establishments. Legacy systems were used to locate equipment information by logging onto multiple servers which took up to 8 hours to update information on 30-40 units. The company had no overall visibility into equipment status or maintenance history.
