EDITED

According to the vendor, EDITED is an AI-driven merchandising experience platform that aims to provide retail market intelligence and analytics. It is designed to assist retailers of various sizes, from small boutique stores to large global brands and retailers, in making informed decisions regarding their assortment planning, pricing, and promotions. The platform is said to be utilized by professionals in different industries, including retail merchandisers and buyers, ecommerce managers, pricing analysts, marketing professionals, and strategy and insights teams.

Key Features

According to the vendor, the main features of EDITED are as follows:

Connected Commerce Cloud: Get real-time data and insights on pricing, discounts, assortments, and trends across the retail industry. Make informed decisions about product assortments, pricing strategies, and promotional activities. Optimize online product offerings, identify market trends, and improve digital marketing and sales strategies.

Retail Automation: Utilize AI-driven automation to streamline merchandising and buying processes. Make data-driven decisions about assortment planning, pricing, and promotions. Gain a competitive edge by staying up-to-date with market trends and making informed business decisions.

Research: Access comprehensive market intelligence reports, trend analysis, and historical data analysis. Request customized research and analysis from a team of data scientists and industry experts to address specific business needs.

Market Intelligence: Receive real-time updates on pricing, discounts, assortments, and trends. Gain insights into competitor pricing, product assortments, and promotional activities. Access category-specific insights and data within your industry.

Market Analytics: Analyze pricing trends, competitor pricing, and optimize pricing strategies. Evaluate product assortments, identify gaps or overlaps, and make data-driven decisions. Track the performance of promotional campaigns and stay ahead of the competition with in-depth market trend analysis.

Visual Merchandising: Analyze competitor visual merchandising strategies and optimize your own efforts. Identify similar or complementary products in the market and make informed decisions. Dynamically adjust pricing based on market trends and customer demand. Make personalized product recommendations to improve the customer experience and drive sales.

Product Matching: Utilize advanced algorithms to identify similar or complementary products in the market. Compare product offerings with competitors, gain insights into market trends, customer preferences, and competitor strategies. Optimize product assortment and ensure a well-rounded offering.

Enterprise Intelligence: Access a centralized data platform to store, analyze, and access retail data. Integrate internal data with the platform for a holistic view of retail operations and market performance. Create customizable dashboards, collaborate and share insights within the platform.

DynamicAction: Monitor and optimize retail operations in real-time. Receive actionable insights and recommendations to improve merchandising, buying, and marketing strategies. Track key performance indicators (KPIs) and receive real-time alerts for critical issues or opportunities.

Basket Analysis: Analyze customer purchase behavior at the basket level. Identify cross-selling opportunities, segment customers based on purchase behavior, and optimize inventory management.