Issuu on Google+

Success Story SportScheck GmbH


Precision landing with predictive analytics SportScheck is one of the largest retailers of sporting goods in Germany. As a multi-channel company, it is a specialized provider of equipment and clothing for nearly every type of sport. At SportScheck, the multi-channel strategy means 16 sales locations across Germany, 30,000 items from 400 international brands, four main catalogs with up to 660 pages, and a range of specialty catalogs. To view the complete catalog and store product lines, visit www.sportscheck.com. Sporting service: Thanks to the cooperation with Blue Yonder, SportScheck, one of Germany‘s largest providers of sporting goods, has improved the quality of its forecasts by 20 to 40 percent. Especially in online trade, this multichannel company anticipates even more forecasts on the item level during the next project phase.

“Changed consumer behavior presents us with enormous challenges: customers are ordering online more and more often and return rates are increasing. In the online sector, there is a multitude of factors involved and we have to deal with an immense quantity of information. We need software that can map this complexity and also incorporate all aspects of visitor behavior . We cannot afford to make incorrect predictions, for these have a significant effect on the success of our business.“ Günther Harant, Procurement Manager at SportScheck

Why Blue Yonder? The greatest complexity and immense quantities of data: Blue Yonder predicts item sales in SportScheck‘s online shop with great precision.


“The structural change in retail trade from the catalog to the Internet has presented us with entirely new challenges. With the unique solution developed by Blue Yonder, sales figures can be predicted exactly. This is crucial for success in the difficult online trade.“ Günther Harant, Procurement Manager at SportScheck

Blue Yonder follows structural change towards e-commerce With 1.1 million customers in retail trade, approximately 17 million

“The structural change in retail trade from the catalog to the Internet

customers in stores, and 35 million visitors to its online shop each

has presented us with entirely new challenges. Blue Yonder bundles

year, handling huge quantities of data is part of daily life at Sport-

methods into a unique solution in order to predict sales figures pre-

Scheck. The online shop increases complexity significantly in this

cisely. This is crucial for success in the difficult online business.“

respect. Günther Harant, Procurement Manager at SportScheck:

Forecast improvement of 20 to 40 percent For three years, SportScheck has been working with Blue Yonder to

make incorrect predictions, for these have a significant impact on

improve the quality of sales forecasts on the individual item level.

our net profits.“ NeuroBayes determines relationships among count-

“Changed consumer behavior presents us with enormous challeng-

less factors (Big Data) and creates very precise sales forecasts in real

es: Customers are ordering online more and more often online and

time. The software is designed so that sudden developments can

return rates are increasing. In the online sector, there is a multitude

be recognized and taken into account quickly. “We can react more

of factors involved and we have to deal with an immense quantity

quickly and flexibly,“ says to Günther Harant. This is how Blue Yonder

of information. We need software that can map this complexity and

has improved its forecasts by 20 to 40 percent in the past three years.

also incorporate all aspects of visitor behavior. We cannot afford to

Sales forecasts for the online shop are extremely complex In contrast to the classic catalog customer, visitors to the online

process: Are their shopping carts actually submitted? How high is

shop are much more difficult to hold on to. The weather, marketing

the abandonment rate? Where is the customer at the moment? The

activities on the part of manufacturers, and the positioning of the

software can also handle the dynamics of an online shop very well

items in the shop: Customer react spontaneously to a wide range

because, in contrast to a catalog with fixed placements, the online

of different factors. As time goes on, the self-learning forecasting

items are ranked according to their success and thus their positions

software Blue Yonder learns how the various external variables

change constantly. In addition, each visitor is presented with vari-

and the interplay of different factors in the shop affect anticipated

ous items in a unique sequence according to individual searches he

sales. This might be the behavior of customers during the order

has conducted and his profile.

Determining return rates precisely Compared with the usual method, Blue Yonder can be used to reduce

ing of clothing sizes. Currently, the materials planners compare sales

the average absolute deviation of the forecast from the actual sales

forecasts from the classic shopping calculator and the Blue Yonder

figures by half. The return rate is also determined more precisely. In

forecast for each individual item. They weigh up results themselves

addition, the software achieves very good results for the forecast-

and order on this basis.


Use your data to navigate to success Still have any unanswered questions? Looking for a partner who can help you develop forecasts that are specifically tailored to your own sets of data? Contact Dunja Riehemann (Tel +49 (0)721 383 117 36, dunja.riehemann@blue-yonder.com) to join us in this visionary venture. For more information, visit us at: www.blue-yonder.com

Blue Yonder GmbH & Co. KG Karlsruher StraĂ&#x;e 88 D-76139 Karlsruhe Phone +49 (0)721 383 117 0 Fax

+49 (0)721 383 117 69

info@blue-yonder.com www.blue-yonder.com


SportScheck - We do sports