HOORO

HOORO uses a proprietary device and machine learning models to predict out-of-stock situations in supermarkets. The technology detects purchases in real time and optimizes inventory, flows, and replenishment.

In 2017, the startup HOORO introduced a patented device in Italy that detects purchases at the point of sale and, using machine learning, predicts out-of-stock situations in the large-scale retail sector. Integrated with company systems, it optimizes shelf and warehouse inventory, improves the supply chain, and supports predictive sales analytics. It addresses the need to facilitate shelf planning and replenishment operations, ensuring timely restocking and reducing out-of-stock situations.
HOORO utilizza un dispositivo proprietario e modelli ML per prevedere l’Out-Of-Stock nei supermercati. La tecnologia rileva gli acquisti in tempo reale e ottimizza scorte, flussi e replenishment.

Nel 2017 in Italia, la start-up HOORO introduce un dispositivo brevettato che rileva l’atto d’acquisto nel punto vendita e, tramite machine learning, prevede situazioni di Out-Of-Stock nel settore GDO. Integrato con i sistemi aziendali, ottimizza scorte a scaffale e magazzino, migliora la supply chain e supporta analisi predittive delle vendite. Risponde al need facilitation of shelf planning and replenishment operations garantendo riassortimenti puntuali e riducendo le rotture di stock.
Material Suppliers

Hooro

Year

2017

Country
Target Market
Project Type

Commercialised Solution

Project Focus
Circular Economy Strategy
Smart Domain
Technological Component
Specific Technology
Morphological Family
Material Family
Packaging Production Processes
Reference Link
https://www.hooro.store/