EDITED - Retail Intelligence Platform

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.

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.

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?

1. 1

   Configure: Set up your data inputs and preferences

2. 2

   Use: Access insights and analytics through the platform

3. 3

   Optimize: Adjust strategies based on data-driven insights

4. 4

   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

FAQ from EDITED

• What is EDITED's Retail Intelligence Platform?

  EDITED's Retail Intelligence Platform provides data-driven insights and AI-fueled predictions to help retailers make informed decisions.

• How does EDITED help with pricing precision?

  EDITED offers tools for price adjustment, product matching, and pricing automation to optimize pricing strategies and protect margins.

• What industries benefit from EDITED?

  EDITED is primarily used in the retail industry, helping businesses optimize their strategies and improve profitability.

• Can EDITED improve product visibility?

  Yes, EDITED enhances product positioning, making products more visible and discoverable in the market.

• What is the role of AI in EDITED?

  AI powers EDITED's insights and predictions, enabling retailers to make data-driven decisions and automate processes.

• Who leads EDITED?

  EDITED is led by CEO Doug Kofoid, along with a team of experienced leaders in retail, data, and technology.

• What modules does EDITED offer?

  EDITED offers modules like Assortment, Pricing, Site Merchandising, and Customer, each providing specific tools and insights.

• How does EDITED support trend identification?

  EDITED's Assortment module supports trend identification by analyzing market data and competitor assortments.