Control Your Amazon Marketplace Not Just Your Listings
Remove unauthorized sellers, control the Buy Box, enforce MAP, and protect category performance.
Brand Protection
ASIN Risk Management
MAP Violation Monitoring
Marketplace Intelligence
Who Owns Amazon Risk?
Built for Teams Responsible for Marketplace Control
Why Leading Brands Switch to AxleIT
Built for real-world marketplace complexity not simplified DTC playbooks.
Built for Complex Distribution
AxleIT is designed for hybrid and distributor-driven brands operating at catalog scale, giving teams structured visibility across 10,000+ ASINs without simplifying the realities of multi-channel retail.
Risk-First Intelligence
Instead of overwhelming teams with alerts and raw dashboards, AxleIT surfaces prioritized risk signals and enforcement-ready data so brands can act with confidence and precision.
Designed for Operators
Built for legal, ecommerce, and operations teams (not just analysts) AxleIT delivers clear signal hierarchy and shared visibility across the organization.
Marketplace Solutions Built for How You Sell on Amazon
AxleIT solutions transform Amazon marketplace data into prioritized insights helping brands detect risk, understand competition, and take informed action at scale.
How AxleIT Works
Our Streamlined Violation Enforcement solution is built on a powerful, interconnected workflow that leverages the full capabilities of the Axle platform:
Connect Your Brand
Sync your Amazon Brand in minutes. AxleIT maps ASINs, sellers, pricing signals, and Buy Box data automatically.
Detect & Prioritize Risk
Identify unauthorized sellers, MAP violations, suppressed listings, and Buy Box instability. Risks are ranked by impact so your team focuses on what truly threatens revenue.
Enforce, Monitor, Stabilize
Identify unauthorized sellers, MAP violations, suppressed listings, and Buy Box instability. Risks are ranked by impact so your team focuses on what truly threatens revenue.
Built by People Who Know the Amazon Marketplace
AxleIT was founded by operators who understand that succeeding on Amazon is not about dashboards but about control.
Enterprise Data Discipline Meets Amazon Marketplace Reality
Before founding AxleIT, our founder led large-scale data integration and analytics initiatives for global enterprises where accuracy, governance, and trust were non-negotiable.
When we looked at the Amazon marketplace, we saw a familiar problem: fragmented data, delayed visibility, and reactive decision-making. But Amazon adds another layer of unauthorized sellers, Buy Box volatility, price erosion, and competitive pressure that shifts daily at the ASIN and offer level.
AxleIT was built to address those realities. Not as a generic analytics tool. Not as surface-level monitoring. But as a marketplace intelligence platform designed for real operational responsibility. For teams accountable for pricing stability, brand protection, and revenue performance.
Detect Early Signals
Identify performance shifts and pricing risk before revenue impact becomes visible.
Protect Brand Integrity
Surface unauthorized seller activity with clarity and confidence, not noise.
Turn Insight into Action
Replace fragmented dashboards with actionable marketplace intelligence built for real operational decisions.
AxleIT isn’t built from theory. It’s built from experience in data, governance, and understanding what happens when visibility fails and accountability matters.
Real Brands. Real Marketplace Control.
See how brands selling through distributors, resellers, and hybrid Amazon models use AxleIT to regain visibility, enforce pricing discipline, and stabilize marketplace performance.
Distributor-Led Model
Pricing Volatility Reduced 37%
Bosk
Bosk, a leading outdoor equipment brand, relied entirely on distributors and downstream resellers to sell on Amazon. As seller counts grew, pricing became increasingly unstable and Buy Box ownership shifted without explanation, creating margin pressure and partner conflict.
Using AxleIT, Bosk gained full visibility into its seller ecosystem, identified distributor-linked seller clusters driving price compression, and detected early volatility signals across priority ASINs. Within weeks, the team restored pricing stability and Buy Box consistency, without changing its distributor-led model or selling direct
Read Case Study →Hybrid / Indirect Distribution
Unauthorized Seller Exposure Reduced by 62%
LuminaGlow
LuminaGlow, a premium beauty brand, began seeing subtle MAP erosion and inconsistent Buy Box ownership across top products. While Seller Central showed symptoms, it provided no insight into the source of the disruption.
AxleIT revealed a growing network of unauthorized sellers entering through indirect distribution paths. By detecting seller behavior patterns early and prioritizing enforcement based on real marketplace risk, LuminaGlow contained the issue before pricing collapsed, protecting both brand equity and reseller relationships.
Read Case Study →Large Catalog Operator
48% Fewer High Risk ASINs in 30 Days
GearUp Athletics
GearUp Athletics managed a vast Amazon catalog spanning thousands of ASINs. Enforcement and monitoring efforts were spread thin, making it difficult to know which listings actually posed financial or operational risk.
With AxleIT’s listing risk scoring and Buy Box volatility analysis, GearUp quickly identified which ASINs required immediate action and which could be deprioritized. The result was sharper focus, reduced operational noise, and more predictable marketplace performance across the catalog.
Read Case Study →These brands didn’t optimize listings.
They gained visibility into marketplace forces they couldn’t see before.
Join Them Now & Book Your Free DemoSee Amazon Risk Before It Becomes a Problem
Start with a free analytics evaluation and uncover hidden risks across your ASINs.
Request a Demo