Compare Alloy vs. Quant

Integrate real-time demand information from the point-of-sale into your supply chain to guide decisions in sales, marketing, supply chain management, and planning. As consumer preferences continuously evolve, Alloy enables users throughout your organization to analyze and uncover insights from point-of-sale, forecasting, inventory, ordering, and shipping data across all retail partners with minimal effort. Serving as a centralized source of truth for both supply and demand, Alloy synchronizes retail data with your internal systems to ensure comprehensive visibility from manufacturing stages to consumer delivery, thereby enhancing planning and execution strategies. Since your retail partners may not always prioritize your business needs, it's essential to empower your customer-facing teams to proactively spot risks and opportunities at the shelf, leveraging retail insights to influence the actions of your partners and cultivate trust over time. With point-of-sale and inventory analytics, you can pinpoint sales opportunities and identify inventory risks within your retail and e-commerce ecosystem, ultimately driving your business forward. This strategic approach not only strengthens your market position but also fosters collaboration among stakeholders.

Cloud solution to manage retail spaces, product categories and planograms. Smart automatic generation of planograms based on sales is possible. This allows for the maintenance of planograms in a current state even in large sales networks with many stores. Quant is a complete solution for Space Planning and Category Management, planograms and ranging, shelf labels and POS printing, communication and in-store marketing. Quant Cloud offers all the benefits of cloud computing. You can work remotely on the same projects with your colleagues around the globe and access the same database from different computers. There is no need to create complex infrastructures or overload your IT department. Our consultants are always available to assist you. We train your users, and assist with data integration so Quant can go live in less than 12 week.