Turn your manual Amazon operations into custom software
Tell us what your team still does in spreadsheets, Seller Central, VAs, exports and disconnected tools. We map the workflow, identify what can realistically be automated, and engineer a system around your operation using Amazon SP-API where supported.
- Built around your workflow, not another generic subscription
- SP-API integrations where the data and permissions support them
- Ownership and handover defined in the project agreement
The starting point is your operation: the repetitive work, data movement, reporting, internal approvals and decision points your team already manages.
Automations
Daily reporting
Order sync
Pricing workflow
Operational signals
6 low-stock alerts
Report pipeline healthy
AI insights ready
How much of your Amazon operation is still manual?
Growth makes manual work more expensive. The task that took one VA twenty minutes becomes a daily bottleneck once you have more ASINs, accounts, orders, suppliers and reporting requirements.
Your VA downloads the same Amazon report every morning.
Automate itYour team checks inventory and restock risk by hand.
Automate itSomeone updates spreadsheets with Amazon data every day.
Automate itYou are combining data from several seller accounts.
Connect itYour team sends the same operational report every Monday.
Schedule itAmazon data has to be copied into your ERP, CRM or internal system.
Integrate it
Build the system once, then let your team spend its hours on exceptions, decisions and growth.
For Amazon operations that already have complexity
This is not for a first time seller looking for a starter tool. It is for businesses that already run real operating processes and want software that fits them.
Established Amazon sellers
Seven and eight figure operations where the process is real, the volume is real, and a starter tool has stopped fitting the way the team works.
Brands and private label
You own the catalogue and the supply chain, and need product, listing and inventory operations to run as one system rather than several.
Wholesale sellers
High SKU counts, supplier price lists and margin decisions that currently live in spreadsheets and someone's judgement.
Agencies and aggregators
You operate across many seller accounts and marketplaces, and need consolidated visibility with account and role level access.
Internal operations teams
Multi VA operations where the system already exists. It is simply being run by people instead of software.
Software built around your Amazon workflows
These are the kinds of systems we engineer. What is actually possible depends on your requirements and on Amazon's available APIs, permissions, marketplace and application setup, which we scope before we promise it.
Inventory automation
Stock position, movement and risk in one place, with the rules that decide what needs attention.
- Inventory synchronisation across systems
- Low stock and restock risk alerts
- Replenishment workflows
- Multi location inventory logic
Order automation
Supported order data brought into your stack and kept synchronised without manual exports.
- Order data synchronisation
- Internal order workflows
- Fulfilment integrations
- Operational dashboards
Pricing and repricing
Your pricing rules applied to supported marketplace signals, with review where it matters.
- Rule based pricing logic
- Competitive offer data
- Exception review before changes
- Price updates where the API supports them
Reporting and analytics
The reports your team rebuilds by hand, produced on a schedule and kept in your own store.
- Automated report retrieval
- Custom dashboards
- Sales and operational KPIs
- Scheduled distribution
Product and listing operations
Catalogue requirements, listing status and issues centralised, with changes routed through controlled workflows.
- Product data synchronisation
- Listing workflows and validation
- Catalogue management
- Bulk operations where supported
Internal operations
The private tooling your team actually works in, instead of five tabs and a spreadsheet.
- Admin panels and team dashboards
- Approval workflows
- Alerts and business rules
- Role based access
AI automation
AI where it improves analysis or decision support, with deterministic rules and human review kept where they belong.
- Natural language analysis over approved data
- Internal knowledge assistants
- Operational recommendations
- Human reviewed workflow agents
Integrations
Amazon data connected to the systems your business already runs on.
- ERP and CRM
- Accounting systems
- Slack and email
- Databases and third party APIs
What custom Amazon automation looks like in practice
Not a feature list. These are the operational chains a custom system can orchestrate when the required API access and data are available.
Daily seller reporting
Pull supported reports, normalise the data, update your dashboard and tell the team when the latest dataset is ready.
Amazon reportsData storeDashboardSlack / email
Inventory exception workflow
Track available and inbound inventory, apply your stock rules, surface only the exceptions and route replenishment decisions to the right person.
InventoryRulesAlertReplenishment
Order sync
Bring supported order data into your internal stack and keep downstream workflows synchronised without manual exports.
OrdersInternal databaseERP / ops
Pricing workflow
Combine supported pricing signals with your business rules, review the exceptions, and submit updates where the applicable API supports the change.
Offer dataRulesReviewUpdate
Listing operations
Centralise product requirements, listing status and issues, then route bulk or individual changes through controlled workflows.
CatalogueValidationWorkflowListing update
AI operations assistant
A natural language interface over approved internal data and documents, with guardrails and human review wherever an action carries consequences.
Seller dataKnowledgeAI assistant
Generic SaaS is excellent, until your operation stops being generic
Where we work
Your workflow becomes the product
Rules, data views, approvals and actions designed around how your business actually operates, not around a vendor's roadmap.
Connect what already works
Keep the SaaS tools that earn their place and integrate them, rather than replacing everything for the sake of a rebuild.
Build for exceptions, not copy and paste
Software handles the repetition. People spend their attention on decisions, edge cases and the work that genuinely needs judgement.
Your team should run the business. Software should run the repetition.
- Spreadsheets as the system of recordAutomated workflows
- VA dependent tasksCentralised data
- Manual Seller Central checksNear real time operational visibility
- Disconnected toolsConnected systems
- Copy and paste workflowsException based human review
- Reporting that is always a day behindInternal processes that scale
Amazon data is the input. Your business logic is the system.
SP-API is Amazon's REST interface for working programmatically with supported selling partner data and operations. We use the relevant APIs as building blocks, then design the database, rules, workflows, dashboards, alerts and integrations around your actual process.
Amazon SP-API
Authorised marketplace access
Data layer
Orders, inventory, listings, pricing, reports
Business logic
Your rules, thresholds and approvals
Automation
Scheduled and event driven workflows
Your systems
ERP, CRM, Slack, email, databases
Custom interface
Dashboards, portals, internal tools, AI
What is actually available: What is available varies by API, role, permission, application type, marketplace, seller authorisation, data sensitivity and Amazon policy. We scope what is realistically available before we promise an automation.
Amazon domain context plus software engineering
The value is not knowing how to call an API. It is translating an operational problem into a reliable system, and knowing where Amazon data, permissions, automation, AI and human review each belong.
Marketplace context
Workflows designed around seller operations rather than generic business software patterns.
Full stack engineering
Interfaces, APIs, databases, automation logic, cloud deployment and integrations under one architecture.
AI with control
AI where it improves analysis or decision support, with deterministic rules and human approval preserved where the action matters.
Capability you can inspect
Complyva is a concrete example of the complexity we can architect for Amazon seller workflows.
We do not just talk about Amazon automation. We build it.
Complyva
Complyva shows how we think in connected seller workflows rather than isolated scripts: research, sourcing, eligibility, pricing, inventory, compliance, seller intelligence, AI assistance and automation sitting around one shared operating context.
This is proof of technical capability, not a customer result. We do not publish unverified revenue, ROI, user count or testimonial claims.
What it covers
Built for you. Owned by you.
Your software should become an asset of your business, not another dependency. Ownership, access and handover deliverables are defined in the project agreement, so everyone knows what transfers at launch and what ongoing support looks like.
- Source code and repository access
- Technical documentation
- API documentation
- Deployment documentation
- Database architecture
- Infrastructure and admin access
- Training and knowledge transfer
- Handover support
From we do this manually to production software
Six stages, and the first one decides whether custom software is justified at all.
- 01
Discovery
Understand the workflow, the users, the pain points and the automation opportunities that are actually worth building.
- 02
Architecture
Design the API, database, integration, permission and workflow architecture before anyone writes a feature.
- 03
Prototype
Validate the operating flow and the interface with your team before full development starts.
- 04
Development
Build the backend, the frontend, the integrations and the automation engine.
- 05
Testing
Test permissions, edge cases, data quality, workflows and reliability against real conditions.
- 06
Deploy and handover
Launch, then transfer the agreed access, code and documentation.
What you receive at the end
Everything runs in accounts you control from the first commit. Ending an engagement is an access change, not a migration.
- Working software in production
- Source code and repository access as agreed
- Technical, API and deployment documentation
- Database architecture and infrastructure access
- Training and knowledge transfer
- Handover and ongoing support as scoped
We’ve got the answers you seek
Anything not covered here? Ask us through the contact form and we’ll answer within a working day.
The Selling Partner API is Amazon's REST based API ecosystem for programmatically accessing supported selling partner data and operations. Which endpoints are available depends on the use case, marketplace, application setup, permissions and authorisation.
Tell us what your team is still doing manually
Show us the workflow. We will review the process, identify where software or SP-API automation may fit, and tell you what is realistically worth building. We would rather tell you an existing tool is the better answer than sell you custom software your business does not need.
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