If you're a fashion retailer trying to use AI to forecast product assortment and avoid overstocking, Dressipi is a good choice. The company's platform offers personalized recommendations, styling advice and product forecasting to help retailers maximize revenue and profit. Dressipi's technology is geared for the apparel industry, with a taxonomy of attributes created by fashion stylists and amplified by AI to provide high-quality data and accurate forecasting.
Another option is Antuit, which offers AI-based demand forecasting and omnichannel inventory optimization that can help improve inventory efficiency and reduce stock-outs. Antuit's retail and consumer products solutions include direct-store-delivery predictive ordering, intelligent order promising, and omnichannel allocation with size optimization, which can help retailers make more data-driven decisions and better manage inventory.
RELEX offers a unified supply chain and retail planning platform that uses machine learning to improve forecasting and inventory management. It covers a range of areas including inventory management, production planning, supply chain planning and assortment planning. The platform offers real-time visibility and collaboration across all levels, helping companies lower costs, increase sales and respond to changes in the market.
For a more general-purpose retail intelligence platform, check out EDITED. It marries market context with AI-powered insights for the most complete view of what's going on in your business. With tools for competitor assortment comparison, trend buying and data-driven decision-making, EDITED helps retailers run their businesses better and maximize profitability. Its global reach and support for many retail roles means it's a good fit for fashion companies.