Description
EDITED is a Retail Intelligence Platform designed to empower retailers by providing data-driven insights and AI-fueled predictions. The platform is powered by Edie, a deep agent built on the world's most comprehensive retail dataset. With EDITED, retailers can turn insights into actionable strategies, making data-driven decisions with market context.
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The platform offers various features such as trend predictability, allowing retailers to identify early signals and make actionable decisions. It also provides competitive benchmarking to understand market threats and opportunities in real time. Retailers can optimize their product assortment, reduce waste, and increase sell-through rates.
EDITED's pricing precision feature helps retailers price smarter, protect margins, and make confident promotional decisions. The platform also enhances product positioning, making products more visible and discoverable. Additionally, it aids in improving customer profitability by delivering what customers truly want, driving long-term growth and engagement.
The platform is equipped with modules like Assortment, Pricing, Site Merchandising, and Customer, each offering specific tools and insights. For instance, the Pricing module helps build price architectures and optimize discounting activities. The Assortment module supports trend identification and product selection.
EDITED is led by a team of experienced leaders, including CEO Doug Kofoid, who brings a wealth of experience from high-growth technology companies. The platform is used by major retailers like Hollister, PVH, PUMA, Woolworths, and Harrods, demonstrating its effectiveness in driving revenue and optimizing strategies.
- CategoryBusiness Intelligence
- Pricing ModelContact for pricing
- DeploymentCloud
- PlatformsCross-platform
EDITED's Core Features
Retail Intelligence Platform
Trend Predictability
Competitive Benchmarking
Assortment Precision
Pricing Precision
Product Positioning
Customer Profitability
Market Data API
Product Matching
Dashboards
Research Articles
Pricing Automation
Customer Data Unification
Site Merchandising
Exploratory Analysis Tools
How to use EDITED?
Configure: Set up your data inputs and preferences
Use: Access insights and analytics through the platform
Optimize: Adjust strategies based on data-driven insights
Automate: Implement automated pricing and assortment adjustments
EDITED's Use Cases
- Trend Prediction
- Competitive Analysis
- Assortment Optimization
- Pricing Strategy
- Customer Engagement
- Product Visibility
- Market Data Integration
