SmartPriced Analytics provides competitor pricing intelligence for brands and retailers, leveraging AI and machine learning to match products and identify similar offerings. The platform ensures high data accuracy and product-match rates through a combination of algorithms and human auditing, delivering customized solutions for specific product categories.
Funding
Funding not disclosed
Founders
Product
Problem
Brands and retailers often struggle to maintain competitive pricing due to the complexity of tracking competitor prices, especially for private label products and across different regions. Manual price checks are time-consuming, inconsistent, and fail to capture the nuances of product similarity, leading to missed opportunities for margin optimization and potential mispricing.
Solution
SmartPriced Analytics offers an AI-powered pricing intelligence platform that automates competitor price tracking and product matching. The platform utilizes web scraping to capture real-time pricing data, including details on private label products, promotions, and regional variations. Custom-trained AI models then analyze product specifications to identify highly accurate, like-for-like comparisons. The platform also incorporates human auditing by category specialists to ensure data accuracy and provide strategic insights, enabling businesses to optimize pricing, maximize margins, and identify assortment opportunities.
Target Audience
The primary target audience includes brands and retailers seeking to optimize pricing strategies, maximize margins, and gain a competitive edge through comprehensive competitor pricing intelligence.
Features
- Automated web scraping for real-time competitor price tracking
- AI-powered product matching with custom-trained models for high accuracy
- Human auditing by category specialists for quality assurance
- Identification of pricing gaps and margin opportunities
- Tracking of competitor promotions and discounts
- Regional pricing intelligence for localized strategies
- Assortment insights and analytics to identify brand overlaps and white space opportunities
- Integration with internal pricing rules and margin goals