Quant vs. Manthan Merchandise Analytics

A cloud-based solution designed for managing retail spaces, product categories, and planograms is now available. It features intelligent automation that generates planograms based on sales data, ensuring that planograms remain up-to-date even across extensive retail networks with multiple locations. Quant serves as a comprehensive tool for Space Planning and Category Management, including functionalities for planograms, product ranging, shelf labels, POS printing, in-store communication, and marketing. Leveraging the advantages of cloud computing, Quant Cloud enables teams to collaborate on projects from anywhere in the world, accessing the same database seamlessly across various devices. There’s no requirement for complex infrastructure setups or additional strain on your IT resources. Our team of consultants is readily available to provide support, training your staff and facilitating data integration, allowing Quant to be operational in under 12 weeks. This efficient onboarding process means you can quickly start reaping the benefits of improved retail management.

This document outlines the essential steps to undertake, specifying when and where these actions should occur, along with the individuals accountable for them. Manthan’s Merchandise Analytics serves as a sophisticated Prescriptive Analytics tool powered by AI, providing guidance on the most optimal, data-driven actions for critical merchandising and in-store operations. Moreover, its state-of-the-art conversational interface ensures that all users within the business can easily access and apply these insightful recommendations. By customizing product assortments in line with customer preferences and adapting them to particular store locations, businesses can more effectively cater to the needs of their clientele. The platform accommodates both pre-season and in-season planning for assortments, allocations, new product introductions, and visual merchandising or spatial planning, while also assisting in the formulation of private label strategies. The actions it suggests are meticulously crafted to improve essential assortment metrics such as sales growth, gross margins, and inventory turnover. In addition, it provides valuable insights into product bundling, markdown tactics, and strategic decisions about which products to keep or phase out. Consequently, businesses can not only enhance their offerings but also drive profitability and elevate customer satisfaction levels, ultimately fostering a more responsive and efficient retail environment. Thus, leveraging such advanced analytics can significantly influence a company's competitive edge in the marketplace.