How
May 8, 2025
1️⃣ Introduction
Everyone working in e-commerce shares the same pain:
“Manually research competitor products one by one, analyze reviews, collect notes, send them to the team…”
All of it takes time. All of it is repetitive.
This is exactly where Aicado’s Super Agent—powered by Amazon tools and automation—transforms the process into something that can be completed in just 2 minutes.
The scenario below is a real usage story of an automatic Amazon research assistant built using these tools.
2️⃣ Problem Definition
An e-commerce manager wanted to analyze competitor products on Amazon before entering a new category.
Here’s what they usually had to do:
Manually collect 15–20 competitor product URLs
Review each product’s features in separate tabs
Copy and paste customer reviews into Excel
Combine everything with personal notes and email it to the team
This process took 3–4 hours and became less efficient each time it was repeated.
3️⃣ Solution Overview
To automate this tedious workflow, the user built a Super Agent inside Aicado.
This agent combined the following tools:
🛒 Product Collector for Amazon → Extracts product details from entered URLs
🌟 Review Collector Pro for Amazon → Collects customer reviews from the same URLs
🧠 Web Search Tool → Gathers recent news and comparisons for each product
🖼️ Text-to-Image Tool → Creates product image and description combinations automatically, if needed
📩 E-mail Sender Tool → Automatically sends all results to the team
In other words, the user just said:
“Analyze these 10 Amazon products and give me a detailed summary. Generate product images if needed and send everything to person X.” 4️⃣ Implementation Process
Steps the user took:
Defined a Super Agent in Aicado
Activated 5 tools: product extractor, review analyzer, web searcher, image generator, email sender
Structured the prompt like this:
“Analyze these products: Highlight key features for each one, extract trends from customer reviews, generate a short visual summary, and send the complete output to the marketing team.”
Within 2 minutes, the agent:
Pulled product details
Extracted insights from reviews
Generated a visual summary with key highlights
Packaged all data and emailed it to the team
5️⃣ Results & Gains
📊 On first use:
3 hours of manual work reduced to 2 minutes
The team could analyze more products in parallel
Presentation-ready visuals were created automatically
User feedback:
“It’s not just AI—it works like an automation engine. It’s like having a new team member.”
6️⃣ Learnings & Recommendations
Yes, product research can be done with AI—but using the right tool combination is key
Combining Aicado’s tools within a Super Agent = Creating an automated analysis line
If you want to generate not just data, but also action—Aicado’s functional agent model is for you
7️⃣ Extras 🛠️ Product used: Aicado Super Agent
📦 Active tools: Product Collector for Amazon, Review Collector Pro for Amazon, Web Search, Text-to-Image, Email Sender
🧑💼 User type: E-commerce manager
⏱️ Setup time: 20 minutes
