Boggi Milano leverages Zebra RFID solutions and AI to enhance real-time inventory and supply-chain reliability

Boggi Milano, a premium Italian men’s fashion retailer with a network of 290 stores in 60 countries, says it has modernized its store systems and elevated the customer experience using Zebra Technologies’ RFID solutions. Real‑time inventory synchronization is a top priority for fashion brands. Zebra’s solutions are now fully deployed at 105 of Boggi Milano’s 130 stores worldwide. Marco Benasedo, Chief Information Officer (CIO) of Boggi Milano, said the implementation has driven a comprehensive transformation in inventory management and significantly improved the efficiency and reliability of the entire supply chain. “In some stores, we achieved inventory accuracy above 99%, helping to significantly improve service quality and the ability to meet customer demand,” he said. According to Zebra’s 18th Global Shopper Study, 84% of retail leaders in Europe say real‑time inventory synchronization is a top priority. In fact, many businesses are planning to apply advanced technologies like RFID (43%) to increase real‑time visibility, and more than half have begun testing AI to optimize inventory management. “Thanks to Zebra’s solutions, our staff no longer have to perform time‑consuming manual tasks such as scanning each product or counting stock. This transformation not only enhances operating efficiency but also makes the job more flexible and easier for the entire team,” said Luigi Barra, Boggi Milano’s Chief Supply Chain Officer. [Image caption: Boggi Milano uses AI to significantly improve the efficiency and reliability of the entire supply chain.] In fashion, underlying causes of overproduction include the pressure to generate buzz through continual product releases, competition on economies of scale, and meeting minimum factory production quantities. Brands also fear missing sales and would rather overproduce than underproduce. It is estimated that about 40% of clothing produced globally is not sold and is discarded, a problem that affects both the environment and profits. Business of Fashion estimated fashion overstock could amount to $70‑$140 billion in revenue in 2023. A recurring warning has been that the only real solution to waste is to prevent it at the source. If AI is not yet ready to replace designers, it nonetheless demonstrates its importance in internal management. Brands and retailers are using AI to optimize inventory and display. Pierre Wizman, head of Blacksheep’s France platform, described AI intervention as a real tsunami. Blacksheep’s apparel and eyewear retail platform aims to remove most physical stores, slash energy costs, rent, and transportation costs. Rather than producing upfront and hoping to sell, this platform connects directly with manufacturers, places orders in real‑time, and distributes products based on demand. [Image caption: Brands and retailers are using AI to optimize inventory and merchandising.] Although this approach may seem radical, applying AI to control production scale has become a clear reality across the industry. In this race, the fast‑fashion conglomerate Shein stands as a dominant force that others must watch. Instead of producing tens of thousands of units for a design, Shein uses algorithms to analyze trends and only produces small pilot batches, typically 100–200 items per style. As these batches hit the market, the machine‑learning system tracks sales velocity, clicks, and user interest. Based on that data, they adjust supply to match demand with near‑perfect accuracy, virtually eliminating idle stock. The superiority of this data‑driven model is demonstrated by impressive figures. In a January 2026 Senate hearing, a Shein spokesperson said the company has maintained unsold inventory at below 10%. That figure presents a real challenge for traditional retailers, whose overstock rates typically range from 20% to 40% per fashion cycle. [Caption: In this race, Shein is a formidable force that all must heed.] Recognizing the survival pressure, legacy brands and long‑standing giants are rushing to overhaul their forecasting. Felipe Marques, Chief Information Officer of the renowned French lingerie group Etam, says they are investing heavily in AI to optimize three core pillars: warehouse management, boosting sales, and controlling procurement. Their ultimate objective is to minimize excess stock at the end of each season and to precisely calculate the quantity needed for each SKU from the first order. This optimization gives the group confidence that it can cut excess stock by at least 10%, potentially up to 20%. Across the Atlantic, Levi’s Chief Executive Officer Michelle Gass confirms the company has quietly applied AI to planning for many years. Algorithms forecast inventory levels and handle large‑scale data analysis tasks. From a macro perspective, improving profit margins and tightening inventory management are increasingly a survival priority for 45% of senior executives. This is highlighted in McKinsey’s State of Fashion 2026 report, which also notes that the average time to clear a batch of inventory reached a record 168 days in 2024. The era of smart glasses is taking off. Time: 09:18, 30/03/2026 [Image caption: The moment when smart glasses begin to boom.] Luxury resale market in China is upgrading rapidly. Time: 09:17, 30/03/2026 [Image caption: The luxury resale market in China is upgrading.] “Thrift shop”: A sustainable path for young consumers. Time: 15:12, 25/03/2026 [Image caption: “Thrift shop”: A sustainable path for young consumers.] Keywords: [AI solutions in inventory management] [Fashion and AI] [fashion] [supply chain optimization] [Vneconomy] Further reading [Stock LVMH shares hit by slowdown] … (examples of related coverage) [Additional items and navigational context from the original page are omitted in this English extraction for clarity.]