AmazeBase
AmazeBase is an all-in-one Amazon business management platform that connects advertising, financials, inventory, and simulations around a single spine: real landed cost per unit. It replaces disconnected tools and spreadsheets with specific, evidence-backed recommendations—like exact bid changes and order-by dates—rather than just historical dashboards. The platform grades its own recommendations over time, honestly reporting effects within ±5% as noise.
- Retail Technology
- Software Only
- Advertising Technology
- Data & Analytics
Funding
Founders
Founder details are not available yet.
Product
Problem
Amazon sellers typically juggle multiple disconnected tools, spreadsheets, and manual processes to manage research, advertising, inventory, and finances. This fragmentation leads to unreliable data, delayed decisions, and costly mistakes like stockouts, overstock, and unprofitable ad spend that erode margins.
Solution
AmazeBase provides an all-in-one Amazon business management platform that connects six core systems—opportunity discovery, advertising, financials, ledger, inventory, and simulations—around one shared spine: real landed cost per unit. Instead of showing sellers what happened, it tells them what to do, with specific recommendations like exact bid changes and order-by dates grounded in actual cost data. The platform rebuilds settlement exports into true profit-and-loss statements, tracks every dollar spent acquiring inventory from purchase order to receipt, and simulates cash flow forward fortnight by fortnight to prevent running out of money while profitable. Every advertising and inventory recommendation is paired with evidence, and recommendations are stored and graded so sellers know which ones actually worked.
Target Audience
Primary customers are Amazon sellers operating one or more product lines who need integrated profit-driven decisions across advertising, inventory, and financials, from growing businesses to established operations.
Features
- Landed cost per unit computed from manufacturing, freight, duty, and inspection divided by units actually received, with completeness scores and confidence badges
- PPC module that judges every campaign, keyword, and placement against real break-even ACoS, delivering seven verdicts with specific from→to bid changes and a hold-flywheel action to protect organic rank
- Self-grading recommendation system that stores, matures, and marks each suggestion as worked, didn't, or inconclusive, with effects within ±5% honestly reported as noise
- Financial reports that break Amazon fees into eight lines, calculate contribution and net profit separately, and answer questions in English like "Am I buying my sales?"
- Inventory module that gives a specific order-by date and suggested quantity, with one-click pre-filled purchase orders and honest lead-time defaults
- Simulation engine modeling three-leg lead times, supplier payment schedules, and automatic reorder placement with cashflow, profitability, and inventory lenses