Every pain point above has a direct AI-powered solution. Here's exactly what our system does no vague promises, just concrete automation.
❌ Losing Buy Box
✅ 85% more Buy Box wins
Our AI monitors every competitor's price every 15 minutes via SP-API. It calculates the minimum price needed to win the Buy Box while protecting your target margin. Rules-based guardrails prevent race-to-bottom pricing. When a competitor goes out of stock, the AI raises your price automatically to capture extra margin.
- 🔹 Real-time competitor price monitoring (every 15 min)
- 🔹 Margin-protected repricing with floor/ceiling rules
- 🔹 Auto-raise prices when competition drops off
- 🔹 Buy Box win rate tracking and historical analysis
- 🔹 Multi-variation and bundle pricing support
⚡ From manual daily checks → autonomous 24/7 repricing
❌ Listings suppressed
✅ Detected in <5 minutes
The system polls your catalog every 5 minutes for suppression flags, missing fields, category changes, and policy violations. When a listing drops, you get an instant Slack/email alert with the exact reason and a one-click fix suggestion. For common issues (missing bullet, wrong node), the AI auto-fixes and re-submits.
- 🔹 5-minute health checks across all active ASINs
- 🔹 Auto-detect suppression, stranded, and inactive status
- 🔹 AI-generated fix suggestions for compliance issues
- 🔹 One-click re-submission for common problems
- 🔹 Weekly listing quality score report
⚡ From days-late discovery → instant alerts + auto-fix
❌ Stock-outs killing rank
✅ Zero stock-outs
ML model trained on your sales velocity, seasonal patterns, lead times, and supplier reliability predicts exactly when each SKU will run out. Auto-generates purchase orders 3-4 weeks ahead. Handles FBA restock limits, IPI score optimization, and warehouse allocation across multiple prep centers.
- 🔹 ML demand forecasting with 92% accuracy
- 🔹 Auto-generated POs sent to suppliers
- 🔹 FBA restock limit monitoring and alerts
- 🔹 Multi-warehouse inventory allocation
- 🔹 Seasonal and promo-adjusted predictions
⚡ From spreadsheet guessing → ML-powered auto-reorders
💬
AI Customer Support Agent
❌ Messages piling up
✅ 90% auto-resolved in <2 min
NLP agent trained on Amazon's communication policies reads every buyer message, classifies intent (refund, tracking, product question, complaint), and auto-responds within Amazon's guidelines. Uses RAG with your product catalog for accurate product-specific answers. Escalates A-to-Z claims and complex issues to your team with full context summary.
- 🔹 Intent classification: 12 categories with 95% accuracy
- 🔹 Policy-compliant auto-responses (no TOS violations)
- 🔹 Product-aware answers via RAG + your catalog data
- 🔹 Smart escalation with context summary for your team
- 🔹 Auto-handle returns, refunds, and shipping inquiries
⚡ From 8-hour reply time → under 2 minutes
📝
Automated Listing Engine
❌ Hours on data entry
✅ 30 min → 2 min per listing
Feed in supplier CSV or API data. Our AI extracts product details, generates SEO-optimized titles (within Amazon's 200-char limit), writes 5 keyword-rich bullet points, creates A+ Content HTML, maps to the correct browse node, and pushes to Seller Central via SP-API. Batch-process 500 listings in 20 minutes.
- 🔹 GPT-4 powered title & bullet point generation
- 🔹 Automatic browse node and category mapping
- 🔹 A+ Content / Enhanced Brand Content creation
- 🔹 Keyword research integration (Search Volume + Relevancy)
- 🔹 Bulk processing: CSV → live listings in minutes
⚡ From copy-paste hell → AI-generated listings at scale
📊
Profit Intelligence Dashboard
❌ Blind profit margins
✅ True per-SKU profitability
Aggregates all cost data in real-time: COGS, FBA fees, referral fees, PPC spend, storage fees, return costs, prep costs, shipping to FBA. Calculates true net profit per SKU, per order, per day. Flags unprofitable SKUs automatically. Shows exactly where your money goes and which products to double down on.
- 🔹 Real-time P&L per SKU including all Amazon fees
- 🔹 PPC spend attribution to individual products
- 🔹 Auto-flag unprofitable SKUs with kill/fix recommendations
- 🔹 Daily/weekly/monthly profit trend analysis
- 🔹 ROI tracking per product launch and campaign
⚡ From revenue guessing → precise profit per unit
