Enterprise AI adoption starts with unified data

Yes — anything outside Amazon is built as a custom integration during your enterprise onboarding. That includes other marketplaces (Shopify, Walmart, eBay, TikTok Shop, Allegro and beyond), your ERP and finance systems, in-house OMS or warehouse tools, and any private API your operation depends on. Custom integrations are scoped during your kickoff and built by the same engineering team that maintains the core platform, so they end up inside the same data layer with the same governance, audit trail and access controls as your Amazon data.

Every enterprise customer is assigned an account team made up of engineers, not call-center support — the same people who scope and ship your integration. You can reach them through a private Slack Connect or Microsoft Teams channel, direct email lines (not a shared queue), phone or video on demand, and quarterly business reviews. Critical issues are answered within one hour, twenty-four hours a day. Major issues get a four-business-hour response. Standard requests are handled the same business day. All response SLAs are written into your contract.

DataDoe is approved by Amazon for SP-API restricted PII access — meaning we have already cleared the Public PII Process audit covering encryption, retention, key rotation, vulnerability management and incident response. All customer data is encrypted at rest with AES-256 and in transit with TLS 1.3. Every customer organization runs in its own logically isolated data partition. EU data residency is available on Enterprise for GDPR-strict workloads, private VPC environments are available on request, and we can provide custom DPAs and MSAs, sub-processor lists and security documentation.

If you are starting fresh without a legacy tool to migrate from, DataDoe goes live within twenty-four hours of your kickoff call — Amazon accounts connected within the first few hours, dashboards configured and team trained by hour twenty-four. If you are switching from another platform such as Sellerboard, an internal warehouse or a custom-built reporting stack, our engineering team owns a two-week white-glove migration: discovery and scoping on day one, Amazon accounts connected and historical backfill running in week one, your reports, dashboards, AI tools, warehouse syncs and any custom non-Amazon integrations rebuilt by us in week two, and full handover with team training on day fourteen.

First, building your own means going through Amazon's Public PII Process audit yourself — a months-long, multi-stage review covering encryption, retention, access controls, vulnerability management and incident response. DataDoe has already cleared it, so buyer data can be enabled on request. A generic Amazon SP-API MCP — including unofficial open-source ones — typically wraps raw API endpoints without that approval, which means no access to restricted PII data, no historical backfills, no schema reconciliation across Amazon marketplaces and no production-grade handling of rate limits, retries, deprecations or the API changes Amazon ships every few weeks. DataDoe gives you a maintained data layer instead of a thin API wrapper — historical data already backfilled, schemas already joined and normalized, multi-account orchestration handled, and an engineering team keeping it production-ready as Amazon evolves its APIs. And because the platform is engineered by Deltologic, anything outside Amazon — your ERP, your warehouse, your in-house tools — can be built into the same data layer as a custom integration during onboarding, instead of becoming yet another internal project.