11 paź 2019
Pobierz Case Study

Case Study Ebl-Naturkost

Organic specialist stores in Germany

• Founded in 1994
• 29 organic stores
• About 500 employees
• More than 250 suppliers
• 1/3 of our total turnover is made up of regional products

Michael Ebert  |  Category Manager

When did you begin using Quant? Do you remember your expectations at that time?

We started with the first training session and involvement of our stores in September 2016. Our first expectations were such that we should be able to plan and analyse our assortment better.

What were the worst difficulties? How did you manage to overcome them and what were your first benefits?

After we tackled a problem with data communication to various databases, the remaining difficulties concerned the quality of acquired data about goods. Thousands of images had to be trimmed and dimensions of the goods were often submitted in an incorrect order (width, height and depth). Just this “preparatory work” took approximately six weeks. The first milestone in Quant was the opening of one of our stores in December 2016 with Quant planograms used in the Foods and Drinks department. 

How long did it take to publish your first planograms in your stores?

The first planograms were published in all stores in January 2017.

Did you use the Quant web as of the beginning? How difficult was it for your stores to get used to it?

The Quant web was used from the very beginning. At first, handling tablets was perceived with a little bit of apprehension, but in general it was accepted quickly and positively.

Do you use the integrated communication channels, such as the chat, on a regular basis?

Many of our employees started using the chat immediately.

A very important part of the project was the integration of the automatic handover of data from various sources, such as EBL ERP, EcoInform, and Data-Nature. Could you please describe in brief how you use data in Quant and what the benefits of such integration are?

In Quant, we use data related to images, dimensions of products and also product specifications concerning ingredients included in products. Thanks to the search and tag functions in Quant, it is much easier and quicker to place groups of products together in the planogram based on required product specification.

You already opened new stores with Quant. Can you describe the main benefits of planning the stores in Quant before their opening?

The major advantage is the time saving during mirroring as it is known from the beginning where and with how many facings the goods will be placed. Also, the rack shelves suspended at the right height contribute to this time saving.

You use the online support in Quant. How do you assess the quality of this support?

The quality of the online support is perceived very well by our employees. We consider the quality of the online support to be very good. Usually, help is provided within minutes or, in the case of larger issues, it is taken care of and you receive prompt feedback.

What are you favourite reports and functions?

Our favourite report is “Space Shares”. The best function is again the graphic representation of the values of sales, turnover, etc. in the respective planogram.

Would you recommend Quant to other retailers?

We have recommended Quant to other retailers and we will continue doing it.

And what are the most important results of the project?

The most important results are among others a better overview of assortment, better planning of assortment in advance and easier placing of goods in stores, which is perceived as real relief! This also contributes to better orientation of customers in our stores.


The best function is the graphic representation of the values of sales and turnover in the respective planogram


Better overview and planning of assortment in advance

Easier placing of goods in store

Time saving when it comes to planning the stor

Quick and easy integration of the automatic handover data from various sources