Dataweave
Brand protection software
E-commerce analytics software
Retail analytics software
Retail intelligence software
Retail pricing software
E-commerce software
Retail software
- Features
- Ease of use
- Ease of management
- Quality of support
- Affordability
- Market presence
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What is Dataweave
DataWeave is a retail intelligence platform that collects and analyzes digital shelf data from e-commerce and omnichannel retailers to support pricing, assortment, availability, and content decisions. It is used by brands, retailers, and consumer goods teams for competitive monitoring, MAP/MSRP compliance, and category performance tracking. The product combines web-scale data collection with analytics and alerting workflows, and it is commonly deployed across multiple retailers and geographies.
Broad digital shelf coverage
The platform is designed to monitor product listings across many online retailers and marketplaces, including pricing, promotions, availability, and content attributes. This supports use cases such as competitive benchmarking and assortment gap analysis across channels. It also enables ongoing tracking rather than one-time audits, which is important for fast-changing e-commerce catalogs.
Pricing and promotion intelligence
DataWeave supports price monitoring and promotion tracking to help teams identify changes in competitor pricing and discounting patterns. Users can set rules and alerts to surface exceptions such as sudden price drops or out-of-policy pricing. This aligns with common retail pricing workflows where analysts need timely signals and a consistent view across retailers.
Brand compliance monitoring
The product is used for brand protection-related monitoring such as MAP/MSRP compliance and detection of unauthorized or non-compliant listings. It helps brand teams prioritize enforcement by highlighting where and when violations occur. This is typically paired with evidence capture and reporting outputs that support internal compliance processes.
Data quality varies by source
Digital shelf data depends on retailer site structure, product matching, and the availability of consistent identifiers. As a result, coverage and accuracy can vary by retailer, category, and geography, and some normalization work may be required. Organizations often need governance processes to validate matches and handle edge cases like bundles or variant listings.
Integration and onboarding effort
Connecting insights to internal systems (BI tools, data warehouses, pricing engines, or ticketing workflows) can require implementation work beyond out-of-the-box dashboards. Teams may need to define taxonomies, product hierarchies, and alert thresholds before the system produces reliable operational signals. This can extend time-to-value for complex assortments or multi-brand deployments.
Not a full commerce platform
Despite supporting e-commerce analytics and monitoring, the product is not positioned as an end-to-end e-commerce platform for storefront, checkout, or order management. Companies still need separate systems for commerce execution and customer transactions. Buyers evaluating it under "e-commerce software" should confirm scope and required companion systems.
Plan & Pricing
| Plan | Price | Key features & notes |
|---|---|---|
| Enterprise / Custom | Not publicly listed — contact sales | DataWeave’s products (Pricing Intelligence, Pricing Modeling, Product Matching, Data Collection API / DaaS, Assortment & Digital Shelf analytics). All product pages on the official site use "Request Demo" / "Talk to an Expert" CTAs; no public tiered pricing or per-user/month rates are published. |
Seller details
DataWeave
Bengaluru, India
2011
Private
https://dataweave.com/
https://x.com/dataweave
https://www.linkedin.com/company/dataweave/
