
Grocery & convenience
Automated demand forecasting at scale
Logio implemented Veritico Stock to automate demand forecasting for GGT’s network of 800+ branches across 14 regional warehouses.

Outcome
Forecasts consider seasonality, promotions and sudden sales shifts, producing reliable order proposals while reducing manual work.
Turnover (≈ +€25M annually)
+0%
Stock (≈ ‑€1M)
-0%
Time to create orders
-0%
About GGT
GGT a.s. (GG Tabak) is one of the largest companies in Slovakia and the leading distributor of cigarettes, tobacco products and accessories for tobacconists and newsstands nationwide. The company operates wholesale and a network of points of sale across Slovakia.
€827.2m revenue in 2024
470 points of sale in Slovakia
9,500 SKUs in the assortment
Initial challenge
Roll out a new planning system across 800+ branches coordinated through 14 regional warehouses, making implementation at this scale a major task.

Project goal
Optimize retail logistics with strong process automation and lower operating costs.

Solution
From manual ordering to model‑driven replenishment
We configured and deployed Veritico Stock to generate automated forecasts and order proposals that reflect real buying patterns.

Solutions implemented
OPEX, CAPEX and ROI Calculations

Impact
Higher sales, leaner stock, faster ordering
+5 % turnover
Roughly €25m annual uplift based on GGT’s scale.
–15 % stock
About €1m less capital tied up.
–60 % planner time for order creation
Significant productivity gain.
Automated, event‑aware forecasts
Seasonality, promotions and sudden shifts considered for stable planning.
Streamline replenishment across regions
If you manage hundreds of outlets and regional warehouses, we can help automate forecasting and ordering with Veritico Stock. Let’s talk about how to lift availability and reduce stock with a single, data‑driven process.
We tackled many supply chain challenges
Distribution route optimization for Jednota Coop Jindřichův Hradec
Logio helped Jednota Coop Jindřichův Hradec redesign its distribution routes for more than 145 stores, cutting logistics costs by 15 percent and reducing the fleet from six to five vehicles without compromising service.
15% reduction in logistics costs
Fleet reduced from 6 to 5 delivery vehicles
Optimized delivery to more than 145 regional stores
Production planning redesign for Alinvest
Redesign of production planning with make‑to‑stock buffers for selected semi‑finished goods increased flexibility and shortened delivery lead time by up to three weeks.
Reduced delivery time for selected products by 3 weeks