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explainx / curriculum sample

Retail & ecommerce AI curriculum▌

Balances growth experiments with customer trust—especially for loyalty data.

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instructional design: bloom’s taxonomy + measurable outcomes

Every module maps to explicit learning outcomes—not open-ended discussion without deliverables. We sequence along Bloom’s taxonomy (remember → understand → apply → analyze → evaluate → create): definitions and guardrails first, then applied exercises, then measurement and approvals. Facilitators run short checks for understanding after each block (2026 materials).

For organic and generative-engine visibility (GEO), we mirror patterns associated with stronger AI-search citation: answer-first sections, statistics where available, authoritative tone, clear H1–H3 structure, comparison tables when they reduce ambiguity, and FAQ blocks intended to pair with FAQPage JSON-LD. Teams produce briefs, scorecards, and checklists—not a generic “AI creativity” workshop.

program objectives

  • Design personalization with explicit consent and measurement.
  • Align store ops and ecommerce analytics on shared metrics.

how we deliver

  1. 1

    Discovery call & problem framing

    We align on sponsors, success metrics, and constraints (2026 tool landscape, data rules, procurement gates) before anything is scheduled company-wide.

  2. 2

    Stakeholder interviews & day-in-the-life context

    Short conversations with practitioners (not only leadership) so scenarios reflect real workflows—not generic slide demos.

  3. 3

    Curriculum design & artifacts

    Modular agenda, exercise scripts, evaluation rubrics, and governance checkpoints matched to your vocabulary (banking, FMCG, engineering, etc.).

  4. 4

    Engaged, hands-on delivery

    Facilitation-led sessions with live exercises, breakout prompts, and documented failure modes—minimum passive lecture time.

  5. 5

    Post-session support: documentation & next steps

    Written recap, pilot backlog, links to explainx.ai courses for scaled upskilling, and optional office hours so momentum doesn’t stop at the workshop.

modules

Experiment design at store vs. online pace

Avoid polluted A/B reads.

session outline

  • Holdout design
  • Inventory coupling

labs

  • Plan a two-week test

beyond-catalog topics (custom)

  • Franchise vs. corporate-owned rollout differences in APAC

quick contact

Scope or pilot this curriculum

Share sponsor, headcount, and cities — we reply with timing and options. Rough budget helps us match the right depth.

related on-demand courses

Intro to GenAI for Customer Journey Mapping & CX

Use Generative AI for Customer Experience: AI-Powered Journey Mapping, Customer Success Automation, and Feedback Analysis for CX Teams

Automate Digital Marketing & Social Media with Generative AI

Automate Your Entire Digital Marketing Stack: Content Creation, Social Media Scheduling, SEO, Email Campaigns, and Analytics with Generative AI and ChatGPT

faq

Global vs. local assortments?

We split exercises when your taxonomy differs materially by region.

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