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DL-AUD-02 · Audit / AI adoption assessment

AI & automation audit for e-commerce

Find where AI and automation actually pay off in your marketplace operations. We map your data, tools and workflows, then hand you a prioritized, costed roadmap you can build with anyone.

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51.4344.0060°01AUDITDETAIL 01 · AUDIT · DL-AUD-02

What an AI & automation audit prevents

  1. 1.

    Teams copying data between Seller Central, ERP, WMS and spreadsheets

  2. 2.

    AI projects chosen because they are trendy, not because they pay

  3. 3.

    No shared view of which data is reliable enough to automate

  4. 4.

    Budget spent on overbuilt tools nobody adopts

Marketplace, ERP and WMS, ads and spreadsheet data are mapped together with the workflows around them, scored for effort, return and risk, and turned into a roadmap that any team can implement.YOUR OPERATIONS TODAYmanualyour choiceMARKETPLACESAmazon / WalmartERP / WMSstock / ordersADScampaign dataSPREADSHEETSmanual exportsDATA & WORKFLOW MAPwho does whatOPPORTUNITY SCORINGeffort / ROI / riskROADMAP3–5 use casesIMPLEMENTATIONus / you / partner
  1. 01MARKETPLACESAmazon / WalmartDATA & WORKFLOW MAPwho does what
  2. 02ERP / WMSstock / ordersDATA & WORKFLOW MAPwho does what
  3. 03ADScampaign dataDATA & WORKFLOW MAPwho does what
  4. 04SPREADSHEETSmanual exportsDATA & WORKFLOW MAPwho does whatmanual
  5. 05DATA & WORKFLOW MAPwho does whatOPPORTUNITY SCORINGeffort / ROI / risk
  6. 06OPPORTUNITY SCORINGeffort / ROI / riskROADMAP3–5 use cases
  7. 07ROADMAP3–5 use casesIMPLEMENTATIONus / you / partneryour choice
Fig. 02From operations map to roadmapMarketplace, ERP and WMS, ads and spreadsheet data are mapped together with the workflows around them, scored for effort, return and risk, and turned into a roadmap that any team can implement.Scale NTS

What the engagement covers.

  1. 01

    Discovery workshops

    Sessions with your e-commerce, operations and data teams on how the business actually runs today.

  2. 02

    Data & tech review

    Amazon, Walmart, ERP, WMS, ads, spreadsheets and BI reviewed for manual work, gaps and bottlenecks.

  3. 03

    Opportunity analysis

    AI and automation use cases scored on operational pain, complexity and measurable return.

  4. 04

    Roadmap

    What to build first, what can wait, what to skip; effort and budget ranges included.

How it runs.

  1. P01

    Discovery workshops

    We meet your e-commerce, operations and data teams.

  2. P02

    Data & tech audit

    Tools and data sources reviewed for manual work, gaps and bottlenecks.

  3. P03

    Opportunity analysis

    Use cases evaluated on real pain points, complexity and ROI.

  4. P04

    Roadmap & next steps

    A prioritized plan you can execute with us, your team or another partner.

What you get.

ItemDeliverableQty

  1. 01Review of operations, data flows and tech stack1
  2. 023–5 prioritized AI and automation opportunities1
  3. 03Roadmap with effort and budget ranges1
  4. 04Guidance on what to automate and what to keep manual1

Stack06

  • DataDoe (data layer)
  • Amazon SP-API
  • AI agents in Slack, email or CRM
  • Anonymization layer
  • No-code / low-code tools
  • Custom development

Related projects.

  1. DL-014Order automation for an Amazon seller with custom printing productsWraplab · France03Build
  2. DL-002FBM and FBA Amazon orders automationHisco Inc. · USA02Stabilize03Build
  3. DL-011Google Sheets automation for a bookkeeping companyRidge Paragon · USA03Build
  4. DL-059AI-assisted product localization across European marketplacesName withheld · Italy03Build04Secure
  5. DL-061AI-powered warranty triage for an online appliance retailerName withheld · United Kingdom01Audit03Build
  6. DL-039LLM product matching for Amazon Business sourcingName withheld · US East01Audit03Build
All case studies

Questions engineers ask us.

Q01What do we get at the end of the audit?

A prioritized roadmap with 3–5 concrete AI or automation use cases: why each matters, estimated effort and budget, and what to build first, defer or skip.

Q02Do we have to implement with Deltologic?

No. The roadmap is implementation-agnostic. Use us, your internal team or another partner.

Q03How is this different from typical AI consulting?

Every recommendation comes from engineers who build marketplace systems in production, so use cases are grounded in real workflows, real data and real constraints.

Q04What do teams usually build afterwards?

Real-time order sync, multi-channel inventory, P&L dashboards, FBA shipment tools, overselling prevention, automated reporting pipelines. Nothing is assumed upfront; the audit decides.

Q05Is this only for Amazon sellers?

It is for marketplace-driven businesses. Many clients sell mainly on Amazon, but most also run other marketplaces, ERPs, WMSs and ad platforms.

Related services.

Clarity before you build

Book a call. We will tell you whether the audit is the right first step or whether you are ready to build.

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