Food Retail

Zoined Customer Success Stories

Customer stories

Zoined analytics for Food Retail takes into account the specific needs in the vertical. Seasonal demand is modelled using specific AI based machine learning algorithms configured for handling short daily and weekly order cycles. The product also helps in avoiding lost sales while minimizing waste.
We have different hot spots in the stores. For example, the place where the customer makes the first stop and where she looks at, that’s a big hot spot where we should place certain products. Zoined has been a great tool for us in planning these. We use it to support A/B testing for campaigns as well.

Fredrik Eklund

Area Manager, Gateau

Gateau's mission is to run bakeries where customers can always rely on the highest quality of products and services. The business started in 1983 focussed on cafes, and currently comprises 37 bakery shops in 3 regions across Sweden. Gateau is nowadays a part of Fazer group and includes also 13 shops in Finland. Gateau’s business objective was to gain access to sales information and analytics on the spot in order to improve daily operations.

Product Modules

Performance benchmark

Customer stories

Saija Ojala

coffee shop manager, Ciao! caffé
Zoined is a clear and straightforward tool that makes the daily follow-up of coffee shop sales very easy. With access to Zoined, all employees can see how sales develop and how they are split between different product categories.

Having a modern workforce management system in place would enable me to get even more value from Zoined because it is highly ineffective to manually combine sales and working hours data to calculate efficiency metrics. It would be excellent to get this information and KPIs automatically from Zoined service.

Olle Knuus

Buyer, Anton & Anton
”ZOINED® Retail Analytics service helps us plan our coming seasons better.“
For some products we have managed to increase our net margins by more than 30% by minimizing waste and lost sales. Reporting automatization saves us approximately 5h per month per store because we don’t need to do manual consolidation in Excel anymore.

Henrik Johansson

Group CFO, Picnic
Data visualisation helps to grasp things quickly. It is incredibly easy and fast to, for example, monitor our Like-for-Like sales during lunch hours and understand trends taking place in our different coffee shop segments. Hourly analysis makes it an easy task to, for example, pick up challenges in the early morning hours sales and quickly implement corrective actions.

This customer case explains a success story following the deployment of Zoined analytics, Restolution Point-of-Sale system and the Quinyx workforce management system at Finnish lunch & coffee chain Picnic as well as at the La Torrefazione chain belonging to the same Picnic group.

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