The Retail Data Layer for AI
Give your AI the retail context it needs, tailored to your catalog, competitors, and markets. A single data platform for global retail data, built for ecommerce teams going AI-native.
- AI-ready any cadence & data type
- 100M+ products tracked
- 195 countries supported
- 1000+ covered any public website
TRUSTED BY 20,000+ CUSTOMERS WORLDWIDE
Conversational AI for Retail Intelligence
Ask the Bright Insights AI Assistant about pricing, competitors, trends, and retail performance across any marketplace. Ask in plain language. Get actionable recommendations and trend analysis instantly. No analysts to wait on.
Go deep on any product
Search any product, brand or category and get the full picture: pricing history, competitive landscape, review sentiment, market share, product matching, and AI search ranking. All in one unified data layer.
High-frequency pricing, promotions, discounts, and historical trends across every retailer. Down to the SKU and zip code level.

High-frequency signals on how your products rank and appear across AI shopping experiences. Collect, structure, and track the data that determines whether agents find you, then optimize to make sure they do.
High-frequency stock levels and fulfillment signals across every retailer and geo. Get alerted the moment a competitor goes out of stock and act before anyone else does.

High-frequency signals on category, brand, and seller landscapes to understand market share and track positioning shifts.

Ratings, review volume, and customer sentiment across marketplaces. Optimize your strategy by mapping strengths, gaps, and competitive threats at scale.

Bright Insights customers see 3–5% margin uplift. Improve margins with price intelligence & prevent up to 30% revenue loss from stockouts.
From brief to live retail intelligence
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You tell us what to track
Book a demo. We scope and price your custom data layer from there.
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We build your data layer
- Map domains, products, and competitor signals
- Define schema, refresh cycles, and delivery
- Collect, structure, and normalize your data
- Monitor sources and update schema automatically
- Deliver directly into your data stack
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Your AI acts on retail context
Live retail data flowing into your agents, models, and teams. The minute something changes, you know first.
Bright Insights use cases
Save Lost Revenues
Proactively identify revenue loss from delisting, out-of-stock events, or visibility issues
Track Sales & Market Share
Identify white space opportunities, track competitor sales performance, and spot trends early.
Price Intelligence
Ensure competitive pricing in real‑time to protect and grow margins. Feeds straight into your dynamic pricing tool if required.
Maximize Retail Media
Optimize advertising results with analytics, maximizing ROI and ensuring your ad spend is delivering growing results.
Assortment Intelligence
Fine-tune your product assortment by monitoring competitors, so you can optimize operations. Stock the right products and maximize revenue.
Cross-Channel Optimization
Manage cross-channel product sales with cross-channel intelligence that helps you win.
Enriched Retail Data Feeds
Increase Platform Stickiness
- Predictive analytics: Surface fast-rising brands, categories, and SKUs.
- Social-to-sales mapping:
Link social buzz to sales lift.
- Detect opportunities: Highlight "hidden winners", high-performing products with low buzz.
- Digital shelf intelligence: Flag "hype-only" products to optimize their pricing, stock, or PDP.
Close the Retail Media Loop
- Direct attribution: Tie media spend with improved search ranks, share of voice, and shelf visibility.
- Strategic media investment: Guide user investment toward high-ROI categories and retailers.
- Performance validation: Prove campaign impact with automated before/after KPI reporting.
How businesses leverage Bright Insights
Benchmark MAP Compliance
Monitor MAP pricing across all marketplaces to benchmark compliance, identify violations, and ensure consistent enforcement of MAP policies.
MAP Violation & Promotion Insights
Gain deep visibility into pricing violations and promotion dynamics, enabling you to quickly detect unauthorized discounts and safeguard brand value.
Match and Compare SKUs
Easily match identical SKUs across sellers and channels to accurately identify MAP breaches, duplicates, and unauthorized listings.
Automate Compliance Management
Automate MAP enforcement with streamlined monitoring, reporting, and corrective workflows for greater efficiency and risk reduction.
Starting from $250/month
- Any retailer, marketplace, and geography
- Any refresh frequency, down to the minute
- AI-ready unified eCommerce schema
- Delivery directly into your data stack
- Dedicated Customer Success Manager
Why teams choose Bright Insights
Unmatched coverage
Highest quality data
High-frequency, not batch
No data lock-in
Data depth
Compliant by design
One data layer. Access it your way.
One underlying retail dataset, accessible many ways.
MCP, API, and cloud delivery
Connect live retail data directly into your agents, pricing engines, and platforms, or deliver it straight to your data warehouse. AWS, Google Cloud Platform, Snowflake, and Databricks supported out of the box. Structured, normalized, and ready to query the moment it lands.
AI Assistant
Ask any retail question in natural language. Get structured answers, trend analysis, and actionable recommendations. No technical setup or BI team required.
Dashboards
Ready-made views for category managers and analysts. Pricing trends, competitive share, review sentiment, and stock signals. All in one place.
Bright Insights is trusted by industry leaders
No walled gardens. No platform dependency.
Compliant by design. Natively built on Bright Data’s fully compliant data network. GDPR-ready, CCPA-compliant, SOC2-certified, and ISO 27001:2013 certified. Trusted by Fortune 500 legal teams.
Bright Insights FAQs
How do you define a product type?
Product type is a sub category in an eCommerce website that includes products of the same nature for easily benchmarking prices, attributes, sales volume and more. In many eCommerce websites it will be 4th level (L4) subcategory.
For example in Amazon: Home & Kitchen (L1) > Furniture (L2) > Bedroom Furniture (L3) > Nightstands (L4)
Customer may request several product types (L4 categories) from one L3 sub-category or from different ones in the same L1 (top) product category
What markets are Bright insights available in?
Access insights from any region, platform, or category, without limitations.
We offer full access to all e-commerce platforms and marketplaces, providing tailored insights anytime, anywhere.
Bright Insight supports all retail sites and marketplaces, including Amazon (US and regional websites), Target, Walmart, Overstock, Home Depot, Sam’s Club, Lowe’s, Best Buy, and Wayfair. As the Inishgts arm of Bright Data, we serve 20,000+ businesses with crucial public web data. We can bring anything from anywhere, so contact us to get the most updated coverage.
Can I just purchase a 1 time report on a certain vertical?
One-time analysis is available for supported websites and product categories, our flexible pricing models allow you to pay only for the data you require, making insights accessible for brands of all sizes.
What makes Bright Insights' data collection so reliable?
Bright Insights' solution is natively built on top of the world's #1 web data platform, Bright Data. Thanks to the most trusted scraping and unblocking infrastructure, you get unmatched scale, coverage, and accuracy from as many eCommerce and retail websites as needed.
Are there any websites or eCommerce platforms that cannot be scraped?
We have yet to encounter a website with publicly available data (i.e., no user login required) that we have been unable to access.