AI TOOL PROFILE
EDITED: Retail Intelligence Platform
- Ecommerce
- Analytics and Reporting
- Retail buyers
- Merchandisers
- Ecommerce managers
- Retail planners
- Fashion and beauty brands
- Home goods retailers
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
At a glance
- Best for
- Retail buyers, Merchandisers, Ecommerce managers, Retail planners, Fashion and beauty brands
- Key use cases
- Whitespace Discovery, Pricing Optimization, Assortment Refinement, Promotional Planning
- Integrations
- Market API for data lake integration
- Official website
- Visit edited official website
How AI is used
EDITED is a retail intelligence platform designed to help brands and retailers make data-driven decisions regarding their product offerings. It uses AI to analyze SKUs across thousands of retailers in multiple countries, providing visibility into market shifts and competitor behavior.
The software is intended for several roles, including designers, buyers, ecommerce teams, and manufacturers. It focuses on identifying "whitespace" opportunities where demand may be unmet and refining pricing architectures to support margins.
Users can access specific modules for assortment planning, site merchandising, and pricing automation. The platform is designed to help retailers move away from blanket markdowns in favor of strategic, data-backed promotional decisions.
Buyers should confirm how the platform's market data aligns with their specific product categories and whether the Market API is required for their existing internal data workflows.
Key Features
Pricing Precision
Analyzes market benchmarks to identify potential price adjustments and supports pricing automation based on specific triggers.
Assortment Analysis
Helps identify overexposure or underinvestment in a product range through color and options analysis.
Trend Predictability
Uses AI to spot early market signals and provide insights for trend identification.
Competitive Benchmarking
Provides visibility into competitor performance and market positioning in real time.
Market API
Allows retailers to flow normalized competitive market data into their own data lakes or BI tools.
Product Matching
Supports benchmarking by matching internal items with similar products in the broader market.
Use Cases
Whitespace Discovery
Identifying pricing gaps and color opportunities that competitors may have missed to inform new product launches.
Pricing Optimization
Benchmarking "good, better, best" price points to appeal to different customer segments while supporting margins.
Assortment Refinement
Analyzing full-price sellouts to reveal demand and determine which options to repeat or avoid.
Promotional Planning
Using market data to decide whether to match competitor discounts or maintain a specific price positioning.
Integrations
- Market API for data lake integration
FAQ
What does EDITED do for retailers?
- EDITED provides data and AI-fueled predictions that help retailers spot trends, optimize product assortments, and set prices based on competitor benchmarking.
Who is the target user for this software?
- It is designed for retail buyers, designers, merchandisers, planners, ecommerce teams, and manufacturers.
Can EDITED integrate with existing business intelligence tools?
- Yes, EDITED offers a Market API that allows competitive retail data to flow into a company's data lake or BI tool.
How does the pricing work for EDITED?
- Specific pricing tiers are not listed publicly; businesses must request a demo to receive pricing details.
Source category: Ecommerce
Source subcategory: Analytics & Reporting
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