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What does it do?

  • Dynamic Pricing Optimization
  • Competitor Price Monitoring
  • E-commerce Pricing Strategy
  • Automated Repricing
  • Market Intelligence

How is it used?

  • 1. Access web app
  • 2. Integrate w/ e-commerce
  • 3. Set pricing rules
  • 4. AI analyzes data
  • 5. Auto adjust prices

Who is it good for?

  • Brand Managers
  • Digital Marketing Managers
  • E-Commerce Retailers
  • Pricing Analysts
  • Retail Operations Directors

What does it cost?

  • Pricing model : Book Demo / Request Quote

Details & Features

  • Made By

    Omniaretail
  • Released On

Omnia Retail provides dynamic pricing software and solutions for e-commerce retailers and brands. The platform leverages artificial intelligence and machine learning to optimize pricing strategies, monitor competitors, and maximize profits in the digital marketplace.

Key features:
- Dynamic Pricing Engine: Automates price adjustments based on market conditions, competitor prices, and internal rules using AI-powered algorithms and customizable strategies through the Pricing Strategy Tree™ feature.
- Price Monitoring: Tracks competitor prices in real-time, providing comprehensive market insights and price-scraping data across major e-commerce platforms.
- Price Optimization: Utilizes AI-driven recommendations for optimal pricing, with revenue and profit maximization algorithms capable of assortment-wide optimization.
- Repricing Tool: Automatically increases or decreases prices to meet commercial goals, using rule-based strategies integrated with marketplace platforms.
- Competitor Tracking: Offers in-depth analysis of competitor pricing strategies, historical price trend data, and alerts for significant price changes.
- Price Comparison: Enables side-by-side product price comparisons across multiple retailers with visualization tools for price positioning and market insights.
- Enterprise-level Scalability: Manages millions of product assortments with multi-market and multi-channel pricing support, allowing for global strategy implementation with local adaptations.
- Data Integration and Security: Provides seamless connection with internal data sources, Single Sign-On capabilities, and compliance with data security standards.

How it works:
1. Users access Omnia Retail's platform through a web application.
2. The system integrates with the existing e-commerce infrastructure.
3. Users set up pricing rules and strategies using the Pricing Strategy Tree™ interface.
4. AI algorithms continuously analyze market data, competitor prices, and internal metrics.
5. The platform automatically adjusts prices based on defined strategies and market conditions.
6. Users monitor performance, view reports, and make manual adjustments through the dashboard.

Integrations:
E-commerce platforms (Shopify, Magento, WooCommerce), Marketplaces (Amazon, eBay, Bol.com), ERP systems (SAP, Microsoft Dynamics), Analytics tools (Google Analytics, Adobe Analytics), Price comparison engines (Google Shopping, PriceRunner)

Use of AI:
Omnia Retail employs advanced machine learning algorithms and AI for price optimization calculations, demand forecasting, competitor behavior analysis, and anomaly detection in pricing data.

AI foundation model:
While specific AI foundation models are not explicitly stated, Omnia's proprietary algorithms likely utilize advanced statistical models and machine learning techniques tailored for e-commerce pricing.

Target users:
- Medium to large e-commerce retailers and brands
- Industries such as consumer electronics, fashion and apparel, sporting goods, home and garden, and beauty and personal care

How to access:
Omnia Retail is available as a web application and offers an API for custom integrations.

Ownership:
Omnia Retail is proprietary software owned by Omnia Retail B.V., based in Amsterdam, Netherlands, with an expanded presence across Europe.

  • Supported ecosystems
    Amazon, Apple, Google, Shopify, eBay, Bol.com, SAP, Microsoft, Adobe
  • What does it do?
    Dynamic Pricing Optimization, Competitor Price Monitoring, E-commerce Pricing Strategy, Automated Repricing, Market Intelligence
  • Who is it good for?
    Brand Managers, Digital Marketing Managers, E-Commerce Retailers, Pricing Analysts, Retail Operations Directors

PRICING

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Pricing model: Book Demo / Request Quote

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