Automated system releases resources for a more fulfilling customer experience

Logistics and re-ordering products are crucial to maintaing stocked shelves 24/7. As a retailer, you do not want your customers to go in vain. When customers experience these types of setbacks it makes them doubt the concept or the company and it can be a long and hard journey back to becoming a likeable and trustworthy brand or company again.

Software just has an ability that humans don’t. It sees and recognizes patterns that the human eye can’t even get close to.
Peter Fabricius og Henrik Julius, Magasin, Kundehistorie

Peter Fabricius
CFO, Magasin Du Nord

No customer should go in vain

Based on previous reports made by Magasin Du Nord showing a high number of customers going in vain when the garments they were seeking were sold out, the department store decided that it would be wise to implement a new IT-system delivered by SAS Institute. The purpose of the system was to optimize the stock, bringing about less sold out situations and at the same time release the hands of the staff on the floor to give them more time to interact with customers and spend less time on logistics. Happy employees who do not need to worry about re-ordering and other practical issues deliver a much more targeted and unique customer experience.

Peter Fabricius og Henrik Julius, Magasin, Kundehistorie

Økonomidirektør Peter Fabricius og operations manager Henrik Julius, Magasin du Nord.

From manual to automatic

The department store sells both interior design, fashion and food, meaning that purchase patterns, delivery times and the space requirements vary very much between the different product categories. The IT-system facilitates the process of stocking stores by automatically re-ordering products based on analytics and calculations. The solution receives fresh data on sales and inventory and provides an automatic proposal for procurement of all replenishment products taking variables such as season, geography, and trends into account.

The solution delivered by SAS Institute provides two main functions;

First, the function which is also the key and more basic function is to re-order products that are almost out of stock. A primary function that allows the shop managers to focus on other tasks and processes that cannot be automated. Areas where only a human’s touch can deliver the exact experience.

Second, and the more advanced part of the system is that it uses algorithms to predict when the department store needs to buy new goods based on what the system expects is going to happen in the future.

In practice, the systematized process has given Magasin an opportunity to revise and correct errors in the internal processes. Also, Magasin’s stock bond goes down in general, without more customers going in vain to the store. When automating the “back”-end of the store you automatically optimize the “front” of the store. Meaning that the staff has a greater focus on customer service and unique experiences for all individual customers instead of spending their time on analysis and ordering.

Facts

SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 83,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW.

94 of the top 100 companies on the 2016 Fortune Global 500® are SAS customers.

Gartner positions SAS as a Leader in the Magic Quadrant for Merchandise Assortment Management Applications and many other applications.

Retail clients: Starbucks, Shop Direct, Magasin, Levi’s, Matas and many other cool brands.

Magasin

Udfordring

Manuel og decentral varebestilling uden brug af data og avanceret forecasting.

Løsning

SAS®-løsningen får friske data om salg og lager og leverer automatisk forslag til indkøb på alle genbestillingsvarer i seks stormagasiner.

Fordele

Merchandising-folk frigøres til andre opgaver, og det generelle billede er, at lagerbindingen falder, uden at flere kunder går forgæves i Magasin.

The results illustrated in this article are specific to the particular situations, business models, data input, and computing environments described herein. Each SAS customer’s experience is unique based on business and technical variables and all statements must be considered non-typical. Actual savings, results, and performance characteristics will vary depending on individual customer configurations and conditions. SAS does not guarantee or represent that every customer will achieve similar results. The only warranties for SAS products and services are those that are set forth in the express warranty statements in the written agreement for such products and services. Nothing herein should be construed as constituting an additional warranty. Customers have shared their successes with SAS as part of an agreed-upon contractual exchange or project success summarization following a successful implementation of SAS software. Brand and product names are trademarks of their respective companies.

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