AI-powered In-Store Inventory Management

While experience and expertise are valuable, they are sometimes insufficient. "We also need tools to help us make the right decisions," says Arthur Caron, supply chain director at Monoprix. The company has developed a predictive AI solution with its data scientists, tested in around 100 stores since the summer of 2023.

"Machine learning allows us to estimate that a store will sell ten jars of Nutella next week and that we need to place an order now to ensure these sales," explains Caron. "In short, AI helps us anticipate our needs and meet those of our customers."

This technology works by analyzing a massive amount of data that a human could not process. For example, the start-up Ida, which markets a solution dedicated to the fruit and vegetable department, relies on around 100 parameters, including "market context, average income, seasonality, local events, holiday periods, competitors' opening hours, competitors' prices, history...", lists Mateo Beacco, its co-founder and CEO.

The tool, which is based on data from 6,800 stores in France, can be consulted daily when ordering. "Today, department managers make decisions not based on data. However, ordering the right quantity can massively reduce out-of-stocks and fight against waste, especially in the case of fresh products, which perish quickly," emphasizes Beacco. He claims a "30 to 40% increase in turnover" in the fruit and vegetable departments of his clients.

AI can also be used to refine assortments according to the objectives defined by the stores, which can fluctuate. "We can notably improve the promotion of new products to gain market share, even if it means reducing margins, or optimize the margins of safe and well-established products. Finally, we work on the complementarity between products, by grouping, for example, utensils and Asian products to allow the preparation of a complete meal," says Fabien Thomas, commercial director for France at Retail Insight, which has worked with 35,000 stores worldwide, including several Walmart, Kroger, and Marks & Spencer stores.

AI can also be used to better evaluate stocks and, as a result, reduce out-of-stocks on shelves, a crucial issue for the retail industry. In 2022, the gross loss of earnings due to out-of-stocks reached 4.8 billion euros in hypermarkets and supermarkets, according to the LSA-NielsenIQ barometer.


Derniers billets postés

Pepsico updates its classic Lay's potato chip ranges before summer

Just before the Paris 2024 Olympic Games, Lay's, France's leading potato chips brand with a 31% market ...

Lire la suite

Protein yogurts on the rise in the chilled market

Market growth Skyr and high-protein (HP) yogurts are the most dynamic on the chilled market, with ...

Lire la suite

Pulse specialist Hari&Co renews its brand identity and expands its offering

The plant-based cuisine company, which was acquired by the Avril group less than a year ago, is ...

Lire la suite


Soyez le premier à poster un commentaire !

Ajouter votre commentaire

Les informations recueillies sont utilisées pour publier votre commentaire. Conformément au "règlement général sur la protection des données personnelles", vous pouvez exercer votre droit d'accès aux données vous concernant et les faire rectifier en contactant Sutralis par email ( Consulter les détails du consentement.

Quel est le pluriel de "fil" ? :

Haut de page