DataWeave

02/06/2026

In 2026, retail teams need faster answers to more granular questions: Is a competitor undercutting us on key SKUs today? Are new launches performing across retailers? But those answers depend on what sits below the dashboard. For most retail and CPG teams, that starts in the data lake, where all data first lands.

When that foundation relies on rigid, row-heavy files and tightly coupled scripts, simple questions turn into multi-day investigations. Our latest blog breaks down why retail data lakes need a different blueprint. Read it here: https://dataweave.com/blog/why-retail-data-lakes-need-a-different-blueprint

01/06/2026

🎉A warm welcome to our newest team member Shilpa! Hoping you have a great innings with Team DataWeave. ✨

29/05/2026

Product data from 40+ retailers, normalized and ready for decision making, in minutes, not days! That’s the shift a leading North American retailer needed when manual competitive benchmarking workflows started slowing merchandising decisions down. Different retailer formats and inconsistent product attributes made comparisons messy and time-consuming.

Using DataWeave’s Data Collection API and Merch Intelligence layer, the retailer built a self-serve workflow for real-time competitive benchmarking, powered by AI-driven product matching and spec normalization.

Here's the full story: https://dataweave.com/blog/real-time-competitive-intelligence-how-a-leading-north-american-retailer-transformed-its-merchandising-benchmarking-workflow

25/05/2026

🎉A warm welcome to our newest team member Anubha! Hoping you have a great innings with Team DataWeave. ✨

14/05/2026

🔎 If you still think optimizing product pages for SEO is enough to get cited in AI search, you're working from an old playbook. And you're losing visibility where shoppers are increasingly discovering, comparing, and choosing products.

Your PDPs still need to work for humans and search engines. But they also need to be readable, extractable, and trustworthy for AI assistants and shopping agents. The rules for that are different.

We broke down the 6 PDP shifts brands need to make for AI-driven commerce. 👇

Read the full article: https://dataweave.com/blog/the-retrieval-economy-6-things-your-pdp-content-needs-to-win-in-ai-driven-commerce

11/05/2026

🎉A warm welcome to our newest team member Bathri Narayanan M! Hoping you have a great innings with Team DataWeave. ✨

07/05/2026

📈Retail media performs better with digital shelf context. But most teams struggle to answer the basics: which SKUs need paid support, which already rank well, and which aren't even in stock. Because the shelf data and the media plan live in different systems, managed by different teams, on different timelines.

Our whitepaper breaks down how Digital Shelf Analytics feeds directly into retail media campaign management, from SKU selection and keyword planning to activation timing and performance measurement. Check it out: https://dataweave.com/pages/digital-shelf-analytics-retail-media-advertising-whitepaper

Digital shelf analytics can give consumer brands and agencies the competitive edge they need while advertising on retail media networks. Learn more!

06/05/2026

👀Winning on the digital shelf today is about understanding where your brand appears, how often it shows up, and whether your visibility is organic, sponsored, or being won by competitors.

For brands, Share of Search and Retail Media are now deeply connected. Retail media can lift visibility, search can influence market share, and shoppers who use search are more likely to buy.

DataWeave’s Digital Shelf Analytics solution helps brands monitor organic and sponsored visibility across marketplaces, analyze rankings, benchmark performance, and set alerts for the moments that matter Explore more: https://dataweave.com/in/dsa-share-of-search-media

Make Your Brand Easy for Shoppers to Find

05/05/2026

🎉A warm welcome to our newest team member Kerlarympei Mawrie! Hoping you have a great innings with Team DataWeave. ✨

04/05/2026

👋It's Day 1 at The Digital Shelf Summit 2026,and Team DataWeave is on the ground in Atlanta.

Teams have visibility into what’s happening across the digital shelf: content, search, pricing, availability, retail media. But when the question becomes “what did this actually drive?”, the story is still unclear. It’s not a data problem. It’s connecting those signals to real business impact, fast enough to act on.

That’s the conversation we’re having all week. If you’re here and thinking about this, let’s connect: