[Custom software for established Amazon sellers]

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.

SP-API connected
Amazon operations hubIllustrative example data
Sales$248,420Up 12.8% vs prior period
Orders4,892Synced across systems
Inventory health82%18 SKUs need attention
Sales and order activityLast 30 days

Automations

Daily reporting

Order sync

Pricing workflow

Operational signals

6 low-stock alerts

Report pipeline healthy

AI insights ready

Concept interface. Every system is designed around the client's own requirements.
[Where the time goes]

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 it
  • Your team checks inventory and restock risk by hand.

    Automate it
  • Someone updates spreadsheets with Amazon data every day.

    Automate it
  • You are combining data from several seller accounts.

    Connect it
  • Your team sends the same operational report every Monday.

    Schedule it
  • Amazon data has to be copied into your ERP, CRM or internal system.

    Integrate it
Do not hire another person to repeat the same task.

Build the system once, then let your team spend its hours on exceptions, decisions and growth.

Tell us the workflow
[Who this is for]

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.

  1. 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.

  2. 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.

  3. Wholesale sellers

    High SKU counts, supplier price lists and margin decisions that currently live in spreadsheets and someone's judgement.

  4. Agencies and aggregators

    You operate across many seller accounts and marketplaces, and need consolidated visibility with account and role level access.

  5. Internal operations teams

    Multi VA operations where the system already exists. It is simply being run by people instead of software.

[What we build]

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.

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. 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
[Real automation examples]

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.

  1. 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

  2. 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

  3. Order sync

    Bring supported order data into your internal stack and keep downstream workflows synchronised without manual exports.

    OrdersInternal databaseERP / ops

  4. 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

  5. Listing operations

    Centralise product requirements, listing status and issues, then route bulk or individual changes through controlled workflows.

    CatalogueValidationWorkflowListing update

  6. 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

[Why custom software]

Generic SaaS is excellent, until your operation stops being generic

[Platforms and stack]

Where we work

  1. Your workflow becomes the product

    Rules, data views, approvals and actions designed around how your business actually operates, not around a vendor's roadmap.

  2. 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.

  3. 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.

Amazon SP-APISeller CentralVendor CentralWalmarteBayShopifyNode.jsPythonPostgreSQLAWS
[Before and after]

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 SP-API explained]

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.

  1. Amazon SP-API

    Authorised marketplace access

  2. Data layer

    Orders, inventory, listings, pricing, reports

  3. Business logic

    Your rules, thresholds and approvals

  4. Automation

    Scheduled and event driven workflows

  5. Your systems

    ERP, CRM, Slack, email, databases

  6. 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.

[Why SignX]

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.

  1. Marketplace context

    Workflows designed around seller operations rather than generic business software patterns.

  2. Full stack engineering

    Interfaces, APIs, databases, automation logic, cloud deployment and integrations under one architecture.

  3. AI with control

    AI where it improves analysis or decision support, with deterministic rules and human approval preserved where the action matters.

  4. Capability you can inspect

    Complyva is a concrete example of the complexity we can architect for Amazon seller workflows.

[Proof of capability]

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

Product researchPrice list scanningProfitable sourcingASIN checkerRepricingIP detectionComplianceInventoryAI assistantSales intelligenceAutomation
[Ownership and handover]

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
[Development process]

From we do this manually to production software

Six stages, and the first one decides whether custom software is justified at all.

  1. 01

    Discovery

    Understand the workflow, the users, the pain points and the automation opportunities that are actually worth building.

  2. 02

    Architecture

    Design the API, database, integration, permission and workflow architecture before anyone writes a feature.

  3. 03

    Prototype

    Validate the operating flow and the interface with your team before full development starts.

  4. 04

    Development

    Build the backend, the frontend, the integrations and the automation engine.

  5. 05

    Testing

    Test permissions, edge cases, data quality, workflows and reliability against real conditions.

  6. 06

    Deploy and handover

    Launch, then transfer the agreed access, code and documentation.

[You own it]

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
[FAQ]

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.

[Automation assessment]

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.

Trusted by teams across fintech, e-commerce and SaaS

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