Big data retail: from planning to optimization

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Discover the influence of big data retail on product layout planning and assortment optimization and optimize the results of your retail business.

some time now, few things have been coincidences. Big data retail is a good example. Why leave all aspects of product layout in a store to the imagination? What is the point of taking risks when it comes to the assortment of products offered on the various shelves when you can play it safe? When a person, a potential customer, crosses the threshold of entry into a store, they are at the mercy of marketing .

Everything has a meaning, every circumstance responds to a big data retail strategy : from that table full of items with a 70% discount, to the student who promotes a new product from a well-known brand twenty hours a week, between the bakery and frozen food departments; to the fact that you have to walk through so many aisles to be able to moj database filling the shopping basket. Or did anyone still think that the placement of the cheapest beer brand in the hardest to find place was random?


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Big data retail and its influence on product layout planning
The way in which the items displayed for sale are distributed within an establishment has a decisive importance on:

The atmosphere that is perceived when entering.

The atmosphere that is created in each department.

The sales volume achieved at the end of each month.

The optimization of the way products are arranged that big data retail makes possible thanks to advanced analysis and the application of predictive techniques allows:

Increase the number of meters traveled by each customer inside the store.

Establish the dimensions that each area or section should have in relation to the others.

Sort the departments based on the location of the entrance or entrances to the establishment.


By studying the data obtained from sales, it is possible to know the impact that each decision has on customer habits , allowing a very precise strategy to be defined with a very small margin of error. The results are increased revenue and customer satisfaction.