Grocery & convenience

Increasing shelf availability while reducing inventory across 150+ stores

Logio partnered with Terno to implement the Veritico STOCK platform, transitioning the Slovak grocery chain from manual ordering to an automated, prediction‑based replenishment system.

Outcome

The implementation successfully balanced high product availability with leaner stock levels, significantly reducing manual workloads for store managers and improving fresh food turnover.

Increase in availabilty by

0%

Turnover increased by

0 %

Work per store/day

- 0 hour

About Terno

Terno is a traditional Slovak food retailer established in 1978, operating a diverse network of over 150 stores ranging from local shops to large supermarkets. The company’s portfolio includes the KRAJ, TERNO, and Moja Samoška brands, all currently undergoing a massive modernization of both physical infrastructure and digital processes.

150+ stores

3 retail brands

Established in 1978

Initial challenge

Store managers were responsible for manual ordering based on subjective estimates, leading to inconsistent shelf availability, excessive waste, and significant time spent on administrative tasks.

Project goal

To automate the retail ordering process using demand forecasting to ensure optimal stock levels, reduce food waste, and free up store staff for customer‑facing activities.

Solution

Building a predictive engine for Slovak grocery retail

Logio deployed the Veritico STOCK system to replace manual estimates with data‑driven forecasts tailored to various store formats.

01

System integration

Connected Veritico STOCK to Terno’s existing software architecture to ensure seamless data flow.

02

Predictive modeling

Configured automated order suggestions based on historical sales data and sophisticated demand forecasting.

03

Pilot testing

Validated the prediction‑based approach in a pilot phase at selected stores to fine‑tune accuracy.

04

Network‑wide rollout

Scaled the automated replenishment system across the entire network of 150+ locations.

Solutions implemented

Replenishment & Allocation Management

Supply Chain Management

Demand Forecasting & Inventory Optimization

Impact

Optimized stock, automated growth

Increased availability

Achieved a 2.13% increase in goods availability while simultaneously lowering overall inventory levels.

Significant time savings

Reduced the daily administrative workload of store managers by more than one hour per store.

Improved inventory turnover

Enhanced the efficiency of goods movement with an improvement in turnover rate exceeding 10%.

Reduced waste and markdowns

Minimized write‑offs caused by over‑ordering and inaccurate sales estimates by store staff.

Error prevention

Eliminated downtime and stockouts caused by human error in the manual ordering process.

The automated ordering system was a significant milestone in the automation of the sales process for Terno. We evaluated the construction of orders based on sales prediction as the most suitable approach, which was confirmed in pilot operation. In addition to saving time, we increased availability for the customer and, above all, avoided downtime in case of incorrect orders. Likewise, thanks to automation, we managed to largely reduce write‑offs caused by incorrect sales estimates by store managers. The system met our expectations and we are currently planning to use the full potential of sales forecasting for other processes as well.

Maros Straka

CFO, Terno

Take your grocery operations to the next level

If your retail replenishment is hindered by manual errors and high waste, we can help you automate. Let’s talk about how predictive inventory management can transform your bottom line.

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