You will get 🤖 AI-Powered Email Draft Automation | Outlook + n8n + Claude AI
Project details
I build AI-powered automation systems for Amazon agencies
. I know the operational reality: missed buy box losses, ACOS spikes
nobody caught in time, hours spent manually checking dashboards.
This project delivers an automated intelligence layer for Amazon agencies.
Every morning, it pulls data from Seller Central via SP-API, runs it through
Claude AI with Amazon-specific prompts, and delivers plain-English briefings
to the right account manager — automatically, before the workday starts.
Built on n8n Cloud, Claude API, and Xano — a production stack I use daily.
Client accounts, routing rules, and AI prompts are all controlled from a
simple configuration layer you own. No technical help needed to manage it.
Phase 1: Daily briefing system. Phase 2: Real-time alerts for buy box loss,
suppressed listings, ACOS spikes, and low inventory. Phase 3: Conversational
AI so your team can ask plain-English questions about any account and get
instant data-backed answers.
Every project starts with a paid Discovery phase — a full audit of your
SP-API access and account structure — so you get a precise spec and fixed
price before committing to the full build. No surprises.
. I know the operational reality: missed buy box losses, ACOS spikes
nobody caught in time, hours spent manually checking dashboards.
This project delivers an automated intelligence layer for Amazon agencies.
Every morning, it pulls data from Seller Central via SP-API, runs it through
Claude AI with Amazon-specific prompts, and delivers plain-English briefings
to the right account manager — automatically, before the workday starts.
Built on n8n Cloud, Claude API, and Xano — a production stack I use daily.
Client accounts, routing rules, and AI prompts are all controlled from a
simple configuration layer you own. No technical help needed to manage it.
Phase 1: Daily briefing system. Phase 2: Real-time alerts for buy box loss,
suppressed listings, ACOS spikes, and low inventory. Phase 3: Conversational
AI so your team can ask plain-English questions about any account and get
instant data-backed answers.
Every project starts with a paid Discovery phase — a full audit of your
SP-API access and account structure — so you get a precise spec and fixed
price before committing to the full build. No surprises.
What's included
| Service Tiers |
Starter
$250
|
Standard
$350
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
Responsive Design | |||
Editable Template | |||
Email Testing | - | ||
Upload Template | - | - |
About Arnold
Full-Stack Dev | AI Automation | n8n | API Integration | AI Chatbot
Cebu City, Philippines - 5:00 pm local time
I build end-to-end systems that include instant lead response, automated follow-ups (SMS & email), and AI chatbots for 24/7 customer engagement and qualification. The goal is simple: capture more opportunities and let your team focus on closing, not chasing.
With 10+ years in systems engineering and expertise in Microsoft 365, Azure AD, and cloud infrastructure, I ensure every solution is secure, reliable, and built to scale.
Using tools like N8N, Xano, and Cloudflare, I create seamless workflows that connect your systems and eliminate inefficiencies.
If you want to improve response time, increase conversions, and run a more efficient operation, let’s talk.
Steps for completing your project
After purchasing the project, send requirements so Arnold can start the project.
Delivery time starts when Arnold receives requirements from you.
Arnold works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery and SP-API audit
Review your SP-API credentials, confirm data availability across your client accounts, and map the exact reports we'll pull. Deliver a signed-off architecture doc before any build begins.
Data pipeline setup
Build and test the n8n workflow that authenticates with SP-API, pulls sales, ad, inventory, and listing health data on a daily schedule, and stores it in a normalized format ready for AI processing.