explainx / corporate AI training · T2
AI agents workshop for FMCG teams▌
From demand signals to shelf → distributor → D2C — where agents and copilots actually integrate.
Outcome: FMCG teams see where agent workflows attach to existing data — without science-fair demos.
Prefer the short form first? Jump to contact — no deck required.
Prefer email? Open a pre-filled message in your mail app (yash@explainx.ai).
why this session
Agent hype without operating context wastes leadership attention — we keep it grounded.
what your team walks away with
- AI for demand forecasting, trade marketing, and category management
- How generative AI accelerates NPD and consumer insight sprints
- D2C and ecommerce growth plays your brand team can run with AI
- Where to invest first across sales, marketing, and supply chain
program objectives (aligned curriculum)
These objectives map to the sample curriculum archetype we adapt for similar engagements—yours is customized after discovery.
- Align sponsors and practitioners on where AI agents moves KPIs in FMCG (with metrics and stop rules).
- Establish documentation habits—logging, evaluation, and human review—appropriate to FMCG data and customer impact.
- Ship a sequenced pilot backlog with owners, not a one-off demo that dies after the workshop.
- Connect teams to on-demand courses and explainx.ai resources so depth scales beyond the live sessions.
quick contact
book or scope this session
Rough dates, cities, and budget tier are enough to start—most replies same day. Fields marked * are required.
session details
Workshop format: scenarios + facilitation; cohort sizing by agenda depth.
sample agenda
- Demand, trade, and category management — where AI wins first
- NPD and consumer insights with generative workflows
- D2C / ecommerce growth plays
- Supply chain and distributor touchpoints
- Cross-functional roadmap: sales, marketing, supply
who this is for
- —Brand and category leadership
- —Sales and revenue operations
- —Supply chain and demand planning
why explainx.ai
- Workshops and briefings for leaders at Tata, PayPal, Adobe — adapted to your policies and data boundaries
- 160,000+ learners trained across live programs and courses; facilitator-led, not slide-only theory
- Connected to explainx.ai's agent skills catalog and playbooks so teams keep momentum after the session
what enterprise participants emphasize
“We finally left with owners on the pilot — not another awareness deck. Legal and product were in the same room agreeing on what ‘good’ output looks like.”
“The facilitator pushed on failure modes and documentation habits — exactly what our engineering leadership needed before we scale copilots.”
“Compared to vendor demos, this mapped to our channels and compliance vocabulary. We wired follow-on courses the same week.”
Facilitated by Yash Thakker — AI instructor & product leader based in Mumbai, 12+ years building AI products, 160,000+ students across 50+ courses, programs for enterprises including Tata, PayPal, and Fortune 500 teams. MBA (SIMSREE), B.Tech; founder of explainx.ai and product-led AI ventures. yash@explainx.ai
related courses (follow-through)
Step-by-step video on environments, SKILL.md authoring, publishing workflows, and MCP projects—the same curriculum cited in our agent skills and MCP blog guides.
Agent Skills: Claude Code, Cursor and MCP in PracticeShip Agent Skills, Claude Code Workflows, and MCP Integrations: Hands-on Training for SKILL.md Authoring, Cursor Productivity, and MCP Server Projects
Intro to MCP (Model Content Protocol)Get Started with MCP: Understand Model Context Protocol Architecture, Build Your First MCP Server, and Connect Claude to External Tools and Data
Intro to AI Agents: Build an Army of Digital Workers with AILearn to Build, Deploy and Manage AI Agents: Practical Strategies for Automating Tasks, Streamlining Workflows, and Scaling with Digital AI Workers
related pages
faq
Can we customize the examples for our products and FMCG?
Yes. The working agenda is adapted to your workflows, risk posture, and tech stack. We use your vocabulary — e.g. credit and KYC for banking, trade and demand for FMCG — so leaders see applicability immediately.
Do you cover governance, data residency, and vendor evaluation?
We address practical governance: data handling, evaluation of outputs, human review, and how to brief legal/compliance. Format: AI agents workshop — interactive, with time for your leaders' questions.
What group size works best in your city?
Most corporate runs are 8–24 leaders for discussion depth; larger cohorts use a mix of briefing plus breakouts. We confirm format after a short discovery call.
Is virtual delivery available across India and globally?
Yes — the same modules run in-person (e.g. Mumbai, Bengaluru, Delhi NCR) or live-virtual with timezone-friendly scheduling for distributed leadership teams.
What happens after the session?
Teams get alignment on priorities and owners; we point to curated courses on explainx.ai (generative AI for leaders, change management, domain-specific deep dives) as ongoing follow-through.
What do enterprises say about the facilitation style?
In debriefs, sponsors frequently cite practical scenarios over slide theater, cross-functional attendance that survives Q&A, and next-step clarity — themes that align with feedback patterns seen across 160,000+ learner engagements in live programs and courses.