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rightprice.ai
AI-powered dynamic pricing and market intelligence optimization for e-tailers.
What it does
Tracks competitor pricing feeds and stock changes across e-commerce channels in real time. Analyzes store visitor traffic and purchase elasticity using machine learning models. Automates dynamic price updates on storefronts to capture peak demand margins. Provides analytics dashboards highlighting high-margin inventory opportunities and pricing gaps.
Why it works
Automates manual price tracking and recalculations across large multi-SKU product catalogs. Prevents margin erosion during promotional periods by dynamically balancing price elasticity. Lightweight web extensions and APIs enable seamless setup on existing store architectures. Real-time algorithmic repricing keeps online merchants competitive against automated retail giants.
Category: AI & Automation
Team Size: 2-10
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As of 2026
AI & Automation
Revenue: 0-$100k ARR
AI-powered dynamic pricing and market intelligence optimization for e-tailers.
Overview
rightprice.ai (Right Price Systems) is an AI-driven price optimization platform designed for online retailers and e-commerce brands. The software integrates directly with existing e-commerce storefronts to continuously monitor web traffic, sales conversion rates, stock levels, and competitor pricing feeds. By analyzing real-time demand patterns, rightprice.ai automatically calculates and applies optimal product prices to maximize profit margins and revenue.
Funding status: Acquired
Revenue source: Subscriptions
Customer type: B2B
Pricing: Subscription
Tech stack: Python, Keras, Plotly, AWS, Node.js, JavaScript
Platform: Web
Integrations: AWS, Price Edge, Plotly, Keras, REST API
Founder story
rightprice.ai was founded in 2017 in Stockholm, Sweden, to address the challenge online retailers face when manually managing dynamic price strategies against fast-moving competitor feeds. The platform was engineered to utilize machine learning models that process real-time site visitor behavior, competitor pricing, and inventory data, allowing e-tailers to deploy automated, margin-maximizing price updates.
What it does
- Tracks competitor pricing feeds and stock changes across e-commerce channels in real time
- Analyzes store visitor traffic and purchase elasticity using machine learning models
- Automates dynamic price updates on storefronts to capture peak demand margins
- Provides analytics dashboards highlighting high-margin inventory opportunities and pricing gaps.
Who it's for
- E-Commerce Retailers
- Direct-to-Consumer (D2C) Brands
- Online Marketplace Sellers
- E-Commerce Category Managers
Why it works
- Automates manual price tracking and recalculations across large multi-SKU product catalogs
- Prevents margin erosion during promotional periods by dynamically balancing price elasticity
- Lightweight web extensions and APIs enable seamless setup on existing store architectures
- Real-time algorithmic repricing keeps online merchants competitive against automated retail giants.
Growth strategies
- Strategic technology partnerships with cloud infrastructure providers like AWS and data science frameworks
- Integrations with specialized pricing and analytics vendors across European retail tech networks
- Targeted enterprise outreach to mid- market European e-tailers seeking dynamic pricing automation
- Inbound content marketing focusing on algorithmic pricing, e- commerce elasticity, and margin protection
Alternatives
Comparison overview
- rightprice.ai provides lightweight real-time traffic tracking and dynamic price optimization for direct web stores, whereas legacy platforms like Profitero focus primarily on high-level enterprise shelf analytics.
- It automates real-time price changes directly on e-tailer storefronts using visitor behavior and competitive signals.