Our product addresses to bakeries and fresh food retail which face a major level of particularities like high stock turnover caused by very short shelf life and complex logistics.

Industry reports mention that German retailers have lost $6.6 billion during 2014–2015 due to shrinkage—the highest in any country in the region. That means a massive financial loss for an industry where in 2015 have been registered no less than 47.000 bakery shops. Moreover, switching to digital stocks allows potential savings for fresh products account approx. 1.7% of sale turnover.

We provide real time sales analytics and insights to various stakeholders in the sales process to take fast decisions based on real data, eliminating guess work and reducing the impact of personal experience.

Gesto computes live stocks by gathering all stock movements from direct user input, a deep integration with POS systems and ERP systems. With real time goods stocks, the time for stock taking operations is not only r...
Our product addresses to bakeries and fresh food retail which face a major level of particularities like high stock turnover caused by very short shelf life and complex logistics.

Industry reports mention that German retailers have lost $6.6 billion during 2014–2015 due to shrinkage—the highest in any country in the region. That means a massive financial loss for an industry where in 2015 have been registered no less than 47.000 bakery shops. Moreover, switching to digital stocks allows potential savings for fresh products account approx. 1.7% of sale turnover.

We provide real time sales analytics and insights to various stakeholders in the sales process to take fast decisions based on real data, eliminating guess work and reducing the impact of personal experience.

Gesto computes live stocks by gathering all stock movements from direct user input, a deep integration with POS systems and ERP systems. With real time goods stocks, the time for stock taking operations is not only reduced drastically, but it also enables non-stop stock taking.

We integrate with various ERP systems, saving both time and SKU related errors when placing supply orders, which ultimately improves our customer's efficiency and profits.

Machine learning algorithms power our predictions engine. We process real-time weather data, location and foot traffic data. This feature is work in progress as we are currently working on developing the machine learning models. We will be able to provide initial metrics and KPIs in the next period.
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