Sydon AI,
AI-powered Amazon seller intelligence platform
Sydon AI — AI Case Study
An AI-powered platform that gives Amazon sellers a comprehensive overview of their account — profit, margins, account health, FBA insights, competitor analysis, and product-level performance intelligence.
Three numbers that
tell the story upfront.
Increase in reply rates
An AI-powered platform that gives Amazon sellers a comprehensive overview of their account — profit, margins, account he…
Faster prospecting pipeline
An AI-powered platform that gives Amazon sellers a comprehensive overview of their account — profit, margins, account he…
Improvement in win rate
An AI-powered platform that gives Amazon sellers a comprehensive overview of their account — profit, margins, account he…
Before we got here,
here's what wasn't working.
Sydon AI is the intelligent co-pilot for Amazon sellers. It delivers an AI-powered overview of your seller account covering profit, margins, account health, FBA insights, and competitor analysis — all in one place. Upload documents to get AI-generated answers, explore visual charts and graphs for clearer decision-making, and manage orders with AI-driven performance insights and issue detection. Sydon AI also provides product-level analysis to help sellers understand performance trends and uncover growth opportunities.
We confirmed every challenge with the team before writing a line of production code. The right column lists the pain points we tackled head-on and how we approached each one.
What wasn't working
BEFOREPersonalisation at scale without sounding templated
Used a retrieval step to pull real-time company news and LinkedIn posts before generation, ensuring each email references a specific recent event.
Don't over-engineer.
Solve what matters, ship fast.
The instinct on complex projects is to rebuild everything from scratch. We pushed back. A full rewrite often means months of regressions while engineering rebuilds features that were already working.
We mapped the existing workflow against actual usage. The result was clear: a small set of features accounted for the majority of user time. We rebuilt the core, shipped fast, and extended outward.
On the technical side, we made clear decisions early and held them. The right column shows what we chose, and why.
4 decisions we made early
CHOSEN / REJECTEDSeller Account Overview — how we built it
Custom Seller Account Overview — built for this product's exact needs and data model.
Generic SaaS tool that would require heavy workarounds and compromise the user experience.
Document Q&A — how we built it
Custom Document Q&A — built for this product's exact needs and data model.
Generic SaaS tool that would require heavy workarounds and compromise the user experience.
Visual Insights & Charts — how we built it
Custom Visual Insights & Charts — built for this product's exact needs and data model.
Generic SaaS tool that would require heavy workarounds and compromise the user experience.
Order Management Intelligence — how we built it
Custom Order Management Intelligence — built for this product's exact needs and data model.
Generic SaaS tool that would require heavy workarounds and compromise the user experience.
5 features that
define the product experience.
Every feature was scoped and shipped with the same priorities: speed, reliability, and staying out of the user's way.
Seller Account Overview
Provides an AI-powered overview of your Amazon Seller account, including profit, margins, account health, FBA insights, and competitor analysis.
Document Q&A
Allows you to upload documents and get accurate, AI-generated answers based on the content.
Visual Insights & Charts
Delivers visual insights through charts and graphs for clearer decision-making and performance understanding.
Order Management Intelligence
Helps manage orders with AI-driven performance insights and issue detection to keep your business running smoothly.
Product-Level Analysis
Offers product-level analysis to understand performance, trends, and opportunities for growth.
What changed,
measured against the day-one baseline.
We benchmark before we touch anything, logging every metric below against its state before we wrote a line of production code.
Want to build
something like this?
We ship fast. Talk to us about your product idea and we'll tell you exactly how we'd approach it.