How We Built DataDoe (Deltologic’s AI Development)

How We Built DataDoe: The Blueprint Behind Deltologic’s AI Services

If you work with Amazon data long enough, you eventually run into the same wall: everything is scattered, slow, manual, and reactive. Sellers, brands, and agencies live inside spreadsheets, CSV downloads, BI dashboards, and a dozen disconnected tools.

We knew there had to be a better way.

So at Deltologic, we built DataDoe - our own AI-powered Amazon intelligence platform - not as a “side project,” but as a complete example of what modern AI and data engineering should look like for eCommerce businesses.

And this article explains exactly how we built it, and how the same engineering approach powers the AI development services we now deliver to companies worldwide.
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The Problem We Wanted to Solve

Amazon operators are overwhelmed with information but starved for clarity. Data comes from SP-API, Ads API, Seller Central, Brand Analytics, FBA inbound, search terms, return reports, and none of it works together.

Reporting becomes slow and repetitive. Dashboards need manual maintenance. Decisions happen late. And when something breaks, nobody notices until it is too late.

We wanted to create a system that solved all of this automatically - in real time - without complexity.

That idea became DataDoe.

What We Actually Built

DataDoe is a fully automated Amazon intelligence engine. It pulls data directly from Amazon APIs, cleans and organizes it, generates ready-to-use dashboards, and then layers a conversational AI assistant on top that thinks like an experienced Amazon consultant.

Instead of clicking through interfaces or managing custom dashboards, users simply ask questions:

• “Why did sales drop yesterday?”
• “Which products lost the Buy Box this morning?”
• “Where are we overspending on ads?”
• “Which client needs attention today?”

The AI analyzes the refined datasets, identifies causes, compares performance across time and accounts, and presents answers instantly with context and recommendations.

This wasn’t just a product build. It was the creation of a complete AI ecosystem.
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How We Engineered DataDoe (And What We Can Build for You)

Real-time Data Ingestion

We built a high-speed engine that pulls Amazon data across sales, ads, inventory, Buy Box, returns, search terms, settlements, and more. It works across dozens of accounts simultaneously, updating data daily, hourly, or near-real-time depending on the source.

This capability became one of our most in-demand services. Today, we build advanced marketplace connectors not only for Amazon but also for Walmart, TikTok Shop, Shopify, Allegro, and any API our clients need.

Clean, Reliable, Analytics-Ready Data

AI is only as smart as the data you give it.

So we invested heavily in transforming messy Amazon API outputs into refined tables that make sense to operators.

Sales, traffic, conversions, ads metrics, keyword performance, SKU profitability, search term movements - all mapped into a clean structure that makes analysis instant instead of painful.

This same data-engineering framework is now part of our custom services. If a business needs a high-performance data model, we can design and implement it from the ground up.

The AI Engine Behind DataDoe

The most important part of the platform is the AI itself.

We designed it to think like an Amazon seller, not a chatbot. It understands how metrics connect, how ads influence sales, how inventory affects revenue, and what patterns matter day to day.

Ask a question, and it pulls from multiple datasets, computes metrics like ROAS or TACoS, checks trends, detects anomalies, and explains what actually happened - in language that makes sense.

This is the foundation of our AI services: we build copilots tailored to each company’s data and workflows, whether it is logistics, analytics, finance, inventory, or operations.

Automation, Alerts, and Proactive Intelligence

One of the most powerful outcomes of DataDoe is automation.

Users can schedule anything: sales summaries, Buy Box checks, inventory warnings, ROAS alerts, weekly breakdowns, or cross-brand comparisons. Instead of logging in, waiting for dashboards to load, or hiring analysts, the AI brings insights directly to Slack or email.

This is what modern AI is really about: intelligent automation, not just answers.

We now build similar automation engines for companies across different industries. KPI monitoring, anomaly detection, automated reporting, predictive alerts - it is all possible with the same underlying architecture.

Multi-Account, Multi-Client Architecture

DataDoe was built with agencies in mind. It supports multiple workspaces, client views, permissions, and aggregated dashboards without mixing data. Managing 5, 10, or 50+ Amazon accounts becomes as simple as managing one.

This capability is extremely valuable, and it is now something we build for other SaaS founders and enterprises. If someone needs a multi-account software platform, we already solved the hard parts.

What This Means for Our AI Services

DataDoe is proof that Deltologic can build complete AI-driven platforms - not just prototypes, not just dashboards, and not just automations. Real products, used by real customers, with real performance requirements.

Because we built the full stack ourselves, we can now offer the same capability to clients:

• Marketplace and API integrations
• Data pipelines and warehouses
• AI copilots
• Automation engines
• Multi-user SaaS systems
• Intelligent reporting
• Custom dashboards
• Full product development end to end

If a company wants to automate, scale, or build an AI-powered digital product - we can help them do it.

Final Thoughts

DataDoe is more than a SaaS product.
It is the blueprint of what modern AI should look like inside an eCommerce business.
Clean data.
Powerful automation.
Real-time intelligence.
A conversational interface that understands the business better than any dashboard.

And it shows exactly what our team at Deltologic can build for any company that wants to take advantage of AI - whether it is marketplace analytics, internal operations, or a completely new SaaS idea.
If you want to automate your workflows, build an AI copilot, or create your own AI-driven platform:
Contact us at deltologic.com to schedule a consultation.