Not aware
The data stays unseenHigh terminology barriers, unclear use cases, and an operating view limited to basic reports.
AMAZON · AI NATIVE
Amazon operations are entering the era of
AI-driven data operations.
Data once supported the operator. Now AI should become the operating engine. Amazon is opening deeper data and capabilities to eligible sellers; the advantage is no longer having more reports, but continuously turning data into operating action.
Services are provided by Hefei Xitu Technology Development Co., Ltd. (合肥希图科技发展有限公司). Amazon is a trademark of Amazon.com, Inc. or its affiliates. Adtron is not affiliated with or endorsed by Amazon.
AMCUnderstand journeys across advertising touchpoints
Paid FeaturesSubscribe to deeper and broader data
FSICombine advertising and organic shopping insight
ARPUp to five years of retail purchase history
WHY NOW
Access is only the start.
Continuous use creates value.
This is not simply a new set of reports. Deeper data, a fuller journey, and more precise audiences are changing the operating model. The advantage goes to teams that keep turning data into action.
The platform has opened a new precision operating layer
The real barrier is no longer access to data. It is the team's ability to use it continuously.
Checking a report once does not create an advantage. Teams need a durable capability for collection, cross-analysis, strategy, human approval, execution tracking, and performance review.
Precision operations are here. Experience alone is no longer a sufficient operating system.
01Deeper dataMove beyond basic reports toward durable data assets
02Fuller journeysUnderstand advertising touchpoints and decisions
03Sharper audiencesIdentify distinct segments and operating opportunities
04Finer decisionsTranslate insight into concrete operating actions
THREE BREAKPOINTS
Value is lost at every step between “we have the data” and “we use it every day.”
Not equipped
The data stays unusedWeak problem definition, disconnected metrics, and conclusions that never become operating actions.
No capacity
The practice does not lastCross-module analysis takes time, detailed reviews stop, and urgent work breaks the cycle.
The scarce capability is not data itself. It is continuously converting data into operating action.
CONTINUOUS OPERATING CAPABILITY
AI turns one-off analysis
into a daily operating loop.
The same AI capability connects to different store data and produces store-specific action. AI runs the analysis; people set business goals and approve high-risk actions; results feed the next cycle.
Read the full data handling policy →- 1Collect data
Connect seller-authorized sources and isolate every client, store, marketplace, and employee permission.
- 2Diagnose problems
AI continuously identifies operating anomalies, opportunities, and questions that need validation.
- 3Build strategy
Generate a store-specific plan and expected outcome from its goals, stage, and risk boundaries.
- 4Human approval
Recommendations show their evidence and risk. High-impact actions require explicit human approval.
- 5Execute
Turn approved recommendations into advertising, Listing, inventory, or other operating actions.
- 6Review and update
Track real outcomes, retain useful knowledge, and improve the next diagnosis and strategy cycle.
TRAINING AND SERVICES
Training teaches the AI method.
Services keep the data working.
AI methods can be standardized. Business transformation and store operations cannot. Deeper analysis, strategy adjustment, and ongoing execution are delivered through a tailored transformation program and two AI operating services.
Two-day Amazon AI operations training
A practical, structured program for leaders and operating teams focused on Codex App, AI collaboration, and workflow design, ending with a working prototype for one core process.
- AI working method
- Team capability
- Workflow prototype
Three-month AI Native transformation
A tailored roadmap, knowledge base, automation workflows, governance model, and weekly review system built around the client's data, team, and current processes.
AI advertising management
Store-specific monitoring and optimization rules with dynamic negatives, bids, and budgets; clients approve advertising architecture and new campaigns.
AI store operations
Includes AI advertising management and store-specific operating actions across diagnosis, Listing, inventory, profitability, and execution follow-up.
SOFTWARE AND WORKFLOW CUSTOMIZATION
AI makes custom software practical.
Most Amazon sellers use standardized SaaS products and then reshape their processes around the software. AI reduces the cost of understanding requirements, configuring workflows, developing targeted tools, and improving them over time, so the system can adapt to the business instead.
Product researchListing and contentAdvertising workflowsInventory planningProfit analysisData integration
STANDARDIZED SAASThe business adapts to the system
Fixed fields, fixed processes, and the same operating logic for every customer.
AINative
AI-NATIVE CUSTOMIZATIONThe system adapts to the business
Store-specific data, workflow, strategy, software, and continuous iteration.
ENGAGEMENT
Clear scope.
A written proposal.
Every engagement is scoped around the stores, marketplaces, desired outcomes, operating workload, and delivery complexity. We confirm responsibilities, data boundaries, and commercial terms in writing before work begins. No payment is collected through this website.
Request a quotationEngagement menu
Choose an entry point
The method may be repeatable, but the diagnosis, strategy, workflow, and software delivered to each client are not one-size-fits-all.
- TrainingShared method and team capability
- TransformationTailored AI Native operating system
- Managed operationsStore-specific advertising or operations
- Custom developmentSoftware and workflows built to scope
Where third-party AI models or dedicated infrastructure are required, those usage and server costs are borne by the client and confirmed in the written proposal.
DATA RESPONSIBILITY
Security is an operating boundary, not a claim.
Our access, storage, use, retention, and deletion practices are designed around Amazon's Acceptable Use and Data Protection Policies.
01EncryptionTLS in transit and controlled storage at rest
02Least-privilege accessRole-based access limited to business need
03Logging and responseKey access is logged and security events are investigated
04Limited retentionRestricted information is removed after its necessary use
CONTACT
Tell us what makes your store different
Share your marketplaces, operating stage, data conditions, goals, and the workflows that are holding the team back. We will first define the right service, authorization, and delivery boundaries.
wz@doitio.com