Smart Store Layouts

Improve your retail stores with a help of smart tactics, shopper insights, our proved methodology – all underpinned by machine learning.

Key features

Powerful methodology

  • super flexible data model based on category level
  • no additional software needed (also perfectly fits as an interface to different solutions)
  • works with or without planograms
  • further improvement with machine learning provided
  • possible upgrade for specific
  • combine past data with creative future prediction for incremental value
  • includes findings from in-store customer research to increase shopping basket
  • be like others where it doesn’t matter to shopper, but differentiate your point-of-saleboldly  from the competition
  • emphasize strategically important destination categories
  • let space create a remarkable retail environment
  • choose one of the different tactical scenarios that are right for your retail goals

CASE STUDY

INITIAL SITUATION
In 2019 our retail partner wanted to stop the slight but lasting downfall of the grocery store in a highly competitive environment of one of the major Slovenian cities.

IMPLEMENTATION
For the remodeling of a grocery store (1.700 square meters), we analyzed the situation based on Smart Store Layout model & methodology. Together with the partner’s project team, we set bold initial hypotheses which served as an input to Smart Store Layout model algorithm. On the basis of Smart Store Layout recommendations, a new store layout was prepared. Shelf space decreased, clear shopping paths have been established, easier store navigation introduced & the categories laid out in a thoroughly different way.

THE RESULT
One year and one corona later we can firmly claim that most of the model suggestions were correct. Over-stocked & slow-moving categories have been very effectively substituted with growing and more impulse-purchase based categories.

The reduced shelf space resulted in an overall stock decrease of 8% and a profitability increase of 5%! Space profitability increased by 20%. In some top categories, we reduced the stock level to 1/3 of the former level. The model is also very useful for targeting particular destination categories: healthy and organic products increased by more than 25% (above comparable stores).

THE PROJECTION
Through the next cycle of iteration, we already tapped into the new potential for higher profitability, better customer satisfaction, and even faster stock turnover.

In-built scenarios help get initial space recommendations quickly. Later, we can adjust and fine-tune “volumes” of parameters for specific situation.

 

 

 

 

 

 

 

 

 

 

Either play with the model on your own or we drive you step-by-step. It’s your retail game!

Quickstart with analysis and get first space recommendations. Then develop your concept and remodel your store against it. Yes, it will work!
We can provide either elementary support or full concept development with Auto Cads.

Some additional features included

The Concept – creation or review of your existing

Questionnaire for Store and Sales Manager

Focus Analysis of Sales Data

5 Key Questions for Category or Sales Managers

Store Layout

Recommendations for Implementation

GETTING STARTED IS EASY

Book an initial

FREE 30-MINUTE DISCUSSION DATE

in which we’ll discuss your needs and define the situation.
After the discussion, you’ll get our proposal with a timeline.

Cases