By Use Case
Want to build successful ranges, invest in lasting trends, and effectively benchmark against competitors? EDITED’s assortment solution identifies insights and actionable opportunities by uniquely connecting competitive, business, and customer data so you can make better decisions across pre-season planning, in-season trading, and post-season hindsighting.
Understand how your competition structures its assortment and category mixes and how they compare to yours to identify gaps and opportunities.
Whether looking at your own or competitors' performance last week, last season, or last quarter, select a time period to analyze when planning or adjusting your strategy.
Identify competitor categories, colors, styles, etc selling out quickly, being replenished, or seeing price increases, and track which products are attractive to specific customer segments.
Identify products or categories that are frequently purchased together to create stronger assortments and promotions.
Uncover items that are outperforming peer products with high conversions, profit/view, product launches, reviews, repeat purchase rates, or low return rates and discounting.
EDITED's research articles identify trending products, styles, colors, and more from the runway and social media so you can capitalize on trends ahead of the competition.
Collecting a mountain of product data and aggregating it into an AI-optimized, retail-specific analytical model
Connecting multiple data sets to ensure your decisions are market-informed, customer-centric, and profit-aware
Going beyond averages in reports and, instead, show you specific, actionable insights and how you compare to competitors
Leveraging LLM and ML to drive data normalization, product matching, opportunity identification, and automated summary narratives
PUMA’s team used EDITED Assortment during their sale period to understand why performance was poor within the first 2 days. With EDITED, the team was able to identify an opportunity to move 600 options to sale and generated an additional $200K.
PUMA
Related Resources
EDITED Market™
EDITED Digital™
EDITED Omni™
EDITED Signal™
EDITED Data™
EDITED Messaging™
EDITED Match™
EDITED Overlay™
EDITED Research™
