The Story of La Place

Read more about the journey of our customers: the difficulties they faced, the way we approached them and the results that followed.

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About the Business

La Place is a restaurant chain, owned by Jumbo. La Place spans across ~100 restaurants in the Netherlands, Belgium, Germany, Indonesia and the United States.

The Challenge In Pricing

Dining is a highly competitive and constantly changing market. Consumers have many alternatives to choose from and La Place distinguishes itself through good quality, a wide range of products and great service.

With an assortment of a whopping 1400 products, it was a real challenge to find the best-selling items that would match the local preferences of the customers.

La Place reached out to SYMSON with the following matters:

What are our Key Value Items?
To what extent can we increase sales through a specific assortment per cluster?
Which products should the assortment be expanded with?
Which products should we eliminate from the assortment?
Which items should we include in the permanent assortment and which should we offer flexibly
Which promotions lead to the most sales and store visitors?

Why La Place Chose SYMSON

The customer chose us thanks to the strong advantages we provide:

Ability to detect key value items per location
Use data for deicison-making regarding optimal promotions
Find the price elasticity and optimal price per product
Get valuable pricing insights into customer behaviour

How SYMSON Responded

The SYMSON team onboarded La Place and imported all the relevant sales data per location.

Upon running data analysis on their assortment in SYMSON, La Place was able to:

detect Key Value Items per location
define price elasticity
analyse product performance
analyse which promotions are most effective

The Results

La Place was satisfied with SYMSON and the overall progress.

After implementing SYMSON in their pricing process, La Place is well equipped to:

Make better informed decisions about promo- and price effectiveness
Get and act on more insights about the dynamic customer behaviour per location
Correctly assess the elasticity of the products, ensuring the company is selling a product for the optimal profit
Accurately detect KVI items and optimal promotions for future assortment adjustments