DOVER, Del
Deltologic, a software and AI implementation company focused on ecommerce, is introducing DataDoe as a new way for ecommerce teams to build AI workflows on top of real marketplace data.
For the last six years, Deltologic has built custom Amazon integrations, marketplace automation, reporting systems, internal tools and data infrastructure for ecommerce companies with complex operations. Many of these projects were built for larger teams that had the budget, time and technical resources to create custom systems from scratch.
DataDoe comes from that experience. The idea is simple: smaller ecommerce teams should not need a large engineering budget to build useful systems around their data. They should be able to connect their marketplace data once, use it safely, and build workflows with AI tools such as Gemini, ChatGPT, Cursor and Claude Code.
DataDoe is starting with Amazon because Amazon data is one of the hardest parts of ecommerce operations to organize well. Sellers and vendors work across Seller Central, Vendor Central, Amazon Ads, FBA inventory, fees, settlements, reimbursements, returns, listings, Brand Analytics and profit data. These sources are valuable, but they are usually disconnected.
That is where DataDoe’s Amazon Seller MCP comes in. It gives AI tools and development environments a structured way to work with Amazon seller data, instead of forcing teams to rely on exports, screenshots, disconnected spreadsheets or custom SP-API projects.
Teams can use DataDoe’s Amazon Seller Central MCP to support reporting, dashboards, internal tools, client summaries, profitability analysis, inventory workflows, advertising reviews and AI-assisted operations. Developers can build on top of structured Amazon data instead of starting every project by rebuilding the same data foundation.
“Smaller ecommerce teams should not need a massive engineering budget to build useful AI workflows,” said Kris Krokos, Co-Founder of Deltologic and DataDoe. “DataDoe gives them the data foundation to start.”
Security and reliability are important parts of the product because DataDoe is built by a team that has spent years working on production ecommerce systems, marketplace integrations and enterprise AI implementation. The platform is designed around permissioned access, structured data handling and a clear separation between the ecommerce data layer and the AI interface.
Deltologic sees this as part of a bigger shift in ecommerce software. In the past, smaller companies often had to choose between manual spreadsheets, generic SaaS dashboards or expensive custom development. MCP and AI are changing that model. With the right data layer, ecommerce teams can build more of their own workflows, reports, agents and internal tools without starting from zero.
DataDoe is starting with Amazon and is already testing additional marketplaces. The broader goal is to become a reliable ecommerce data layer for AI implementation across marketplaces, helping sellers, vendors, agencies and developers build AI-native operations on top of clean operational data. Teams using Claude can also explore how to connect Amazon seller data to Claude through DataDoe’s Claude integration page.
DataDoe is available for sellers, vendors, agencies, developers and ecommerce teams building AI workflows on top of marketplace data.
About DataDoe
DataDoe is built by Deltologic — a marketplace technology agency that’s spent six years shipping integrations, custom software, and AI infrastructure for brands across North America, Europe, and Asia.
Media Details
Organization: Deltologic
Website URL: https://www.datadoe.com/
Name: Jakob Wolitzki
Email Address: contact@deltologic.com