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Digital transformation enabled this quick-service restaurant chain to slash costs and speed end-of-month reporting by 67%.READ THE CASE STUDY
Digital solutions that help providers prepare for growth.
See what HFS Research says about how Cognizant is helping clients capitalize on industry subsegment–specific opportunities using its digital assets and food services expertise.LEARN MORE
Our Store Support and Help Desk Center of Excellence help your stores/franchises maintain smart, efficient and smooth operations at lower costs. Restaurants can stay focused on the customer experience and revenue generation. With Cognizant’s services, stores gain five critical competitive advantages:
Transform point of sale (PoS) to point of service—and create a seamless guest experience with our end-to-end PoS services:
Maintaining corporate and financial applications using 40-year-old legacy technology created operational cost and risk for a world-renowned restaurant chain. The system was supported by a wealth of internal knowledge, but there was almost no documentation. To mitigate this risk, the client wanted to transition off the existing system. In addition to the constraints of doing business using the legacy system, the restaurant chain had difficulty collating sales information from more than 37,000 of its restaurants across the world. Challenges with the monthly sales close process and timing added inefficiencies and reporting constraints. Maintaining business data from three different business lines further complicated the month-end close process. This scenario, combined with already limited skilled resources to maintain the legacy systems, led to inconsistencies on reported sales within enterprise systems. The global fast-food chain partnered with Cognizant to modernize its mission-critical sales data management system.
We initiated the project with discussions on how best to re-engineer the existing system architecture. We proposed a discovery phase to document each business process, leveraging reverse-engineering tools. We then created detailed documentation to capture the as-is state and separated the legacy and tech-based monolithic solutions and moved them to a cloud-native digital solution on Amazon Web Services (AWS). After finalizing the technical design, we planned three sequential releases and began building the framework of the new system. Throughout the project, we held product demos and sprint reviews every three weeks with product, business and IT owners to gather feedback. We leveraged multiple AWS tools and technologies to provide a robust, mobile-compatible sales modernization system integrated on the AWS platform. The autoscaling system provides real-time data processing with high availability and the capacity to handle peak concurrent users.
The entirely new, modernized global sales system is now a single, integrated web application that collects, consolidates and reports worldwide sales data, covering the end-to-end sales-close process. We transformed five distributed, 40-year-old legacy systems into an integrated, intuitive, cloud-native and single-source-of-truth system that supports streamlined processes. The modernization program helps the client not only reduce its legacy footprint but also take a huge leap forward with digital transformation in its global enterprise system portfolio. The fast-food chain now enjoys the benefits of a single window, highly responsive, resilient and scalable cloud-based digital ecosystem that handles restaurant sales closure reporting and data reconciliation processes from all international and US domestic markets.
incoming sales data transactions ingested and validated from 37,000+ stores worldwide within minutes
concurrent API invocations per sales submission
from one month to one hour to provision the cloud infrastructure
One of the largest U.S.-based fast food companies needed better insights and visibility into its business to improve decision-making, provide more self-service data analysis for franchisees and improve the dining experience through expanded loyalty offerings. To achieve these objectives, the company retired its on-premises data warehouse and moved to Cognizant BigDecisions, our modern, cloud-based artificial intelligence platform.
Cognizant worked with the restaurant chain to address data loss and discrepancies within its legacy data warehouse. We created a plan for the company to move from IT-driven business intelligence to analytics-driven insights, supplying executives with immediate information to support better decisions.
A delivery dashboard provides key insights, as well as quick insights on sales, product mix, and the performance of promotions and discounts, while consolidating a single view of data from multiple locations. An operations scorecard tracks store performance compared to the national average.
Insights help the company’s president and finance team find and resolve real-time operational challenges in restaurants. The chief marketing officer and staff track sales of particular menu items through the dashboard, driving insights into customer preferences. A daily business summary view helps employees better manage inventory and increase labor efficiency by taking into consideration local sports, entertainment and weather factors. The company now saves money on software licenses while promoting flexibility and improving responsiveness to business needs.
reduction in the average order time per drive-through customer
North American stores have real-time access to data warehouse information, greatly increasing data accuracy
cost reduction due to the near elimination of software licenses
delivers up-to-the-minute sales, product and regional insights and performance metrics
Serving customers by looking forward as well as back is a big promise, but the power of today’s new digital capabilities is vast and growing.
Let's talk about how digital can work for your business.