Multinational Carrefour Relies on SAS AI to Optimize Supply Chain Management and Reduce Food Waste

Press release
Published January 22nd, 2019 - 11:35 GMT
Carrefour is meeting the challenge of omnichannel distribution and inventory optimization by using SAS Viya to collect and process data from stores, warehouses and e-commerce sites
Carrefour is meeting the challenge of omnichannel distribution and inventory optimization by using SAS Viya to collect and process data from stores, warehouses and e-commerce sites

Retail giant Carrefour has chosen SAS® Viya® to optimize its supply chain as part of the company’s global transformation plan to better meet customer expectations through advanced technologies. Carrefour aims to create a unique online and in-store shopping universe where the most suitable merchandise for recognized loyalty customers is guaranteed any time, any place. The deployment of artificial intelligence (AI) to optimize the supply chain is a first for the French retail sector.

Carrefour is meeting the challenge of omnichannel distribution and inventory optimization by using SAS Viya to collect and process data from stores, warehouses and e-commerce sites. Analysis of the data will improve downstream forecasting and upstream ordering with suppliers – reducing waste and overstocks.

Following an 18-month test period, SAS Viya will be deployed at Carrefour in a way that allows procurement and replenishment teams greater agility for integrating working methods and continuously improving forecasting processes. Robust, secure, open and elastic, SAS Viya stores and processes large volumes of data and will allow Carrefour’s experts to develop tailor-made algorithms to meet their specific needs.

“The SAS Viya deployment will allow us to take a step forward in our supply chain optimization. “Artificial intelligence will free up time for our teams to focus on developing differentiated forecasting strategies and best meet our customers’ expectations while reducing waste,” said Franck Noel-Fontana, Forecasting Director at Carrefour France.

SAS and partner Capgemini will offer Carrefour technological and business expertise throughout the deployment.

“With so much talk about AI, it is projects like this one at Carrefour that help separate the reality from the hype,” said Oliver Schabenberger, SAS Chief Operating Officer and Chief Technology Officer. “We have seen incredible advances in making algorithms perform – with stunning accuracy – tasks that a human could do.”

Background Information

Carrefour

Carrefour is one of the largest hypermarket and supermarket chains in the world. The brand was launched in the region in 1995 by Majid Al Futtaim, which is the exclusive franchisee to operate Carrefour in 38 countries across the Middle East, Africa, and Asia.

In 1995, Carrefour opened its first hypermarket in City Centre Deira UAE and through the years, expanded to over 220 Carrefour stores in 15 countries across the region, serving over 200,000 customers a day.

Carrefour operates different hypermarket and supermarket stores to meet the growing needs of its diversified customer base. In line with the brand’s commitment to provide the widest range of quality products and value for money, Carrefour today offers an unrivalled choice of more than 100,000 food and non-food products as well as thousands of household goods.

Carrefour is dedicated to rewarding its loyal customers and offering access to a unique and pleasant shopping experience through special offers and promotions throughout the year. Carrefour is committed to continued business growth in convenient locations across the Middle East, Africa, and Asia to create great moments for everyone, every day. 

SAS

SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change.

 

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