LEAFIO Inventory Optimization helped Nazilbe, a supermarket chain in Georgia, hold on-shelf availability at 94–96% while cutting overstock by 76%, in a five-week pilot (August–September 2026) during which key suppliers fulfilled only 60–70% of orders. Inventory days fell 25%, from 12 to 9, and sales of the pilot products grew 7%.
The pilot tested automated order formation at Nazilbe’s largest store and was measured on products from three key suppliers, whose deliveries were regularly late or incomplete. Nazilbe has since moved to scaling, with 300+ automated orders a day now generated across all its stores.
Results at a Glance
| Metric | Result | Period / basis |
|---|---|---|
| Overstock (pilot assortment) | −76%, declining week over week | 5-week pilot, 10 Aug – 11 Sep 2026 |
| Inventory days (pilot assortment) | 12 → 9 days (−25%) | Same pilot period |
| Sales (pilot assortment) | +7% | Same pilot period |
| On-shelf availability (pilot assortment) | 94–96% throughout | Same pilot period |
| Supplier order fulfillment (context) | 60–70%, incl. late deliveries; some orders partially fulfilled | Same 3 suppliers, same period |
| Automated orders to suppliers & DCs | 300+ per day, sent automatically | All stores, connected assortment, current |
Scope: one store, products from three key suppliers, ISO weeks 33–37, measured as a week-over-week trend.
About Nazilbe
Nazilbe is a local Georgian retail chain founded in 2014 and based in Adjara, the region around Batumi. It runs neighborhood supermarkets under the Nazilbe brand. The stores focus on fresh products and ready-to-eat meals, with a wide grocery assortment and self-service beverages. The chain operates 25 stores and uses LEAFIO Inventory Optimization to automate replenishment across them.
The Challenge: Neighborhood Retail on a Volatile Supply Chain
A neighborhood format sensitive to every delivery. In a near-home supermarket, a late or incomplete delivery shows up on the shelf quickly.
Variable supplier performance. During the pilot, deliveries from the analyzed suppliers were not always complete or on time. Between 60% and 70% of orders were fulfilled, including late deliveries. The replenishment approach needed to perform well under these conditions.
This made the pilot a realistic test of automated ordering under everyday supply conditions.
The Solution: Automated Order Formation Under Real Supply Conditions
A five-week pilot at the largest store. LEAFIO Inventory Optimization is a module of the LEAFIO AI Retail Platform and automates demand-driven ordering for retailers. In August 2026, Nazilbe started a five-week pilot of its automated order formation at its largest store. Live supplier orders ran through the system, and results were measured on products from three key suppliers.
A “red zone” safety-stock layer. Alongside automated ordering, Nazilbe introduced a red-zone safety-stock buffer to protect shelf availability.
What the Results Show
Less excess stock without emptier shelves. Cutting overstock often puts availability at risk, and protecting availability often means carrying more stock. At Nazilbe’s pilot store, overstock on the analyzed assortment fell every week of the pilot. Availability for the same products stayed in a narrow, high range throughout.
On-shelf availability remained high despite variable supplier deliveries. The analyzed suppliers fulfilled 60–70% of orders, yet availability held at 94–96%. LEAFIO Inventory Optimization bases each new order on what is actually in the store, so when a delivery comes in short or late, the next order automatically makes up the difference. In the meantime, safety stock keeps the shelf covered, and no planner has to spot the gap first.
Lower inventory, higher sales. Sales increased during the pilot despite lower inventory levels.
In Their Words
“When we started implementing LEAFIO Inventory Optimization, our goals were clear: reduce excess stock, prevent shortages, and automate routine work. The system was integrated in a very short time. We launched pilot orders in August, and within four weeks most orders were being generated automatically. LEAFIO Inventory Optimization helped us avoid excess stock while keeping products available on the shelf. It also helps us use our team’s time more effectively. The LEAFIO team has been highly competent, attentive, and always ready to help.”
Tea Partsvania, Deputy Director, Nazilbe
Operational Impact: From Pilot to Network Rollout
Orders go out without manual sending. The results in this case are documented for the pilot store, but the rollout has already moved to scaling. LEAFIO now generates 300+ orders a day across all Nazilbe stores. They are sent automatically to external suppliers and distribution centers at a set time each day, for all connected assortment.
Planner time freed up. Automatic order sending has already freed several hours of planner working time.
What’s next: a supplier-specific safety reserve. Nazilbe is adding a second buffer on top of the shelf buffer. It is calculated per SKU, per store, and per supplier. The goal is to build each supplier’s delivery reliability directly into the order.
Conclusion
Nazilbe’s pilot shows that automated replenishment can reduce excess stock while keeping shelves available, even when supplier deliveries vary. The approach is already running beyond a single store, across Nazilbe’s full network. Retailers facing similar challenges can see how Daily increased sales through centralized inventory management. They can also see how Baltic Petroleum cut overstock by 50% with the same module.
Inconsistent supplier deliveries affecting your stock levels? See how LEAFIO Inventory Optimization can keep availability high when deliveries vary → Book a 30-min demo
FAQ
What results did Nazilbe see from its LEAFIO Inventory Optimization pilot?
In a five-week pilot at its largest store, Nazilbe cut overstock by 76% and reduced inventory days by 25%, from 12 to 9. Sales of the pilot products grew 7%, and on-shelf availability held at 94–96%. Results were measured on products from three key suppliers.
Can automated replenishment keep shelves stocked when supplier deliveries vary?
Nazilbe’s pilot suggests it can. The analyzed suppliers fulfilled 60–70% of orders, including late deliveries, yet availability for their products held at 94–96%. LEAFIO Inventory Optimization bases every new order on actual stock in the store, so delivery gaps are made up automatically, while safety stock covers the shelf in between.
Which LEAFIO product did Nazilbe use?
Nazilbe used LEAFIO Inventory Optimization, part of the LEAFIO AI Retail Platform. The pilot tested its automated order formation.
Has Nazilbe scaled LEAFIO beyond the pilot store?
Yes. LEAFIO now generates 300+ orders a day across all Nazilbe stores. They are sent automatically to external suppliers and distribution centers.
What is Nazilbe’s next step to manage supply risk?
Nazilbe is adding a second safety reserve on top of the shelf buffer. It is calculated per SKU, per store, and per supplier, so each supplier’s reliability is built into the order.
