Fuel The Future Of Retail AI

The Intelligent, Trusted Perception Layer for Agentic Commerce

Power the next wave of agentic commerce with accurate, complete, and timely insights.

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Commerce is entering an era where AI agents will increasingly influence what gets bought. DataWeave provides the perception layer that turns fragmented retail signals into clean, structured, and explainable intelligence those agents rely on.

Perception Layer

The Foundational Barriers to Becoming Agent-Ready

Fragmented Visibility

Product, pricing, and content data live in silos across regions and retailers, leaving both human and AI systems with only partial sight of the shelf.

Unstructured, Inconsistent Data

Irregular attributes and taxonomies make products incomparable and cause AI agents to misinterpret or skip listings entirely.

Fragile Collection Infrastructure

Legacy pipelines break under dynamic sites and bot defenses, producing stale or missing data that weakens pricing models and recommendations.

Limited Explainability and Trust

Incomplete or unverifiable data erodes confidence in AI-driven outcomes, creating blind spots for retailers and friction for consumers.

Freshness at Scale

Maintaining up-to-date insights across thousands of SKUs and sites is costly and complex, slowing decisions and reducing AI accuracy.

Lack of Business-Ready Data

Unlabeled and unstructured SKU data create gaps in matching and attribute completeness, making reliable analysis and agent reasoning difficult.

Winning in the AI Commerce Era

  • Retailers need timely, reliable intelligence built on complete and current data to guide pricing, availability, and product performance decisions.
  • Brands need strong visibility and well-structured product information that lets shopping agents accurately compare and recommend SKUs.
  • AI technology providers need scalable data and AI infrastructure that refines fragmented retail signals into consistent, AI-ready intelligence.

Build the Data Backbone for Retail AI

As AI accelerates across retail, organizations must engineer scalable data infrastructures that unify collection, matching, enrichment, normalization, and labeling into one continuous intelligence pipeline. This is the backbone that powers agentic workflows, predictive analytics, and real-time decisioning.

Unified Data Pipelines

Combine high-quality data across collection, product matching, and attribute enrichment to create an always-fresh foundation for intelligent retail operations.

The Connected Product Graph

Create harmonized product identities across marketplaces, geographies, and taxonomies, forming a retail domain knowledge graph that lets AI systems reason consistently about products, prices, promotions, and content.

Precision at Scale

Standardize attributes, variants, and relationships so every AI agent sees a consistent and comparable view of the shelf, enabling fair, explainable decisions.

Shape the Choices AI Agents Make

Create a Consistent, Agent-Ready Shelf View

Deliver normalized, real-time data on prices, stock, promotions, and reviews so AI agents can confidently compare and recommend your products.

Power AI Shopping Engines with Structured Data

Feed schema-aligned product and offer data into AI-powered discovery and retail media platforms to ensure your products appear in trusted, explainable results.

Optimize Pricing and Promotions for Agent Visibility

Align competitive and historical insights with the logic agents use to decide, balancing margin goals with sustained visibility and share.

Measure Share of Choice

Track which SKUs surface in AI-driven shopping queries and benchmark your visibility and ranking against competitors.

Safeguard Marketplace Integrity

Detect duplicates, counterfeit SKUs, and review manipulation to strengthen trust signals and protect your brand’s digital reputation.

The Data-to-Decision Engine for Agentic Commerce

Automated
Data Collection

Data Processing and Enrichment

Intelligence and Insights

Delivery and Integrations

Automated
Data Collection

What we collect:

Product pages, search results, prices, promotions, stock, images, ratings, and reviews across retailers, regions, and categories.

What you get:

Adaptive, resilient data streams that withstand site changes and anti-bot defenses, with built-in monitoring, retries, and auditability.

Delivery Options:

On-demand fetches or scheduled runs, scalable from hundreds to millions of SKUs, delivered through APIs, feeds, or cloud sinks.

Data Processing and Enrichment

Product Matching: Retail-trained AI links identical and comparable SKUs with high accuracy, giving your agents a clean, apples-to-apples view.

Attribute Extraction and Normalization: Multimodal models make product attributes consistent, enabling feature-aware and explainable decisions.

Intelligence and Insights

Pricing Intelligence: Equip AI agents with competitive and historical context to recommend margin-optimized, market-aligned prices.

Assortment Analytics: Track depth, gaps, and trends across categories to inform portfolio expansion and rationalization.

Digital Shelf Analytics: Gain a unified, real-time read of visibility, content quality, and share of shelf across every channel.

Content Optimization: Benchmark and improve titles, images, and attributes to strengthen discoverability and conversion.

Delivery and Integrations

Integrate unified, decision-ready data streams into your retail and AI ecosystems.

  • APIs and Webhooks: Low-latency access and event triggers for real-time agentic workflows.
  • Cloud Sinks: Direct push to Snowflake, S3, and other environments.
  • Feeds and Schedules: Flexible JSON or CSV outputs for operations and analytics teams.
  • Dashboards and Alerts: Human-friendly interfaces to monitor data quality and exceptions.

Have a question or want to learn more?
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