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AAIF Agentic AI Workshop - Deciphering AI for Retail and Manufacturing

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Pune, India
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โ€‹๐Ÿš€ Deciphering AI for Retail and Manufacturing - An AAIF Pune workshop hosted by Newtuple

โ€‹Join AAIF Community Pune at Newtuple for a practical workshop on AI in product discovery, online commerce, and manufacturing service workflows. We will review current industry examples, then build a small e-commerce experience that connects with ChatGPT and Claude.

โ€‹Newtuple designs, builds, and operates enterprise AI agents and applications. Its experience includes agent-based data access for an aviation OEM, document intelligence, verification of AI-generated answers, and MCP-aligned application architecture. The workshop applies these capabilities to retail and manufacturing tasks where accurate data, connected systems, and human review matter.

โ€‹๐Ÿ›’ In retail, these capabilities apply to product catalogs, supplier onboarding, inventory checks, and customer service.๐Ÿญ In manufacturing, they apply to parts selection, dealer portals, quote preparation, and after-sales support. Through guided live coding and business exercises, we will use one sample catalog to connect these use cases to a reusable implementation.

โ€‹๐ŸŽŸ๏ธ The workshop is limited to about 40 participants. Registration is approval-based. Business and technical pairs are encouraged.

โ€‹๐Ÿ’ก What you will learn

  • โ€‹Identify a practical AI use case and a measure of business value.

  • โ€‹๐ŸŒ Use WebMCP to let an agent operate an e-commerce website.

  • โ€‹๐Ÿงฉ Use the Model Context Protocol (MCP) and MCP Apps to connect tools and an interactive interface to ChatGPT and Claude.

  • โ€‹๐Ÿ” Assess product information for answer engine optimization (AEO) and generative engine optimization (GEO).


โ€‹Agenda at a glance


โ€‹Session details

โ€‹๐Ÿงญ Session 1 ยท AI in Retail and Manufacturing Today

โ€‹10:30 to 11:00

โ€‹Explore practical examples of AI in product discovery, shopping, merchant operations, and service workflows. We will review examples from Shopify, Swiggy, and Stripe, then connect them to opportunities in retail, distribution, and manufacturing.

โ€‹Newtuple will explain how its experience with data access, document processing, and answer verification applies to these tasks. We will introduce the agenda, explain the technologies used in the labs, and demonstrate the experience we will build.

โ€‹โœ… Takeaway: A clear view of the integration options and one relevant business use case to explore.

โ€‹๐Ÿ’ป Session 2 ยท Build a Storefront That ChatGPT Can Operate

โ€‹11:00 to 12:30

โ€‹Build a small e-commerce website from a prepared starter project. Add WebMCP tools so an agent can search products, select variants, check availability, and prepare a cart or quote request.

โ€‹We will operate the website from ChatGPT's supported browser experience and check how each request changes the live page. Technical participants will work on the implementation. Business participants will define customer requests and test the results.

โ€‹โœ… Takeaway: A working storefront prototype with explicit tools that an agent can use.

โ€‹๐Ÿ”— Session 3 ยท Bring the Same Store into ChatGPT and Claude

โ€‹13:15 to 14:45

โ€‹Reuse the store's catalog and business functions through an MCP server. Add an MCP Apps interface with product cards, a comparison view, and draft-cart or quote controls.

โ€‹Connect the experience to ChatGPT and Claude, then test how people and assistants work with it inside a conversation. We will explain how ChatGPT Apps, Claude connectors, and plugin packaging fit together. The lab will focus on the shared tools and interface.

โ€‹โœ… Takeaway: A connected prototype that demonstrates the same commerce workflow in both AI platforms.

โ€‹๐Ÿ” Session 4 ยท Make Your Products Discoverable Through AI

โ€‹14:45 to 15:45

โ€‹Explore AEO and GEO through product questions, comparisons, and recommendations. Examine product descriptions, specifications, compatibility information, structured data, and catalog feeds.

โ€‹Participants will audit sample product pages and identify changes that make the information clearer and more complete. We will discuss how to measure AI visibility and answer accuracy over time. The session will close with participant demonstrations and a short workplace pilot exercise.

โ€‹โœ… Takeaway: A product-information improvement plan and a pilot brief with an owner, required data, and a success measure.


โ€‹Who should apply

โ€‹๐Ÿ‘ค Working professionals in retail, CPG, e-commerce, distribution, and manufacturing, including:

  • โ€‹Product, digital, merchandising, marketing, and operations teams.

  • โ€‹Engineering, architecture, and data teams.

  • โ€‹People responsible for product catalogs, dealer portals, procurement, or customer service.

โ€‹๐Ÿค Business and technical pairs are encouraged. Preference will go to participants with a relevant use case or an opportunity to apply the learning in their organization.


โ€‹Prerequisites

โ€‹๐Ÿ“‹ For everyone

  • โ€‹๐Ÿ’ป Bring a laptop and charger.

  • โ€‹Have ChatGPT and Claude accounts, signed in.

  • โ€‹Bring one business use case to discuss.

  • โ€‹Complete the account and access checks sent before the event.

โ€‹๐Ÿ› ๏ธ For participants who will code

  • โ€‹Install an IDE, such as VS Code or Cursor.

  • โ€‹Install and sign in to a coding assistant, such as Claude Code or a similar tool.

  • โ€‹Install Git and the Node.js version specified in the setup guide.

  • โ€‹Basic familiarity with JavaScript and web applications is helpful.

โ€‹Business participants can work with a technical partner. Deep experience with AI agents is not required.

โ€‹๐Ÿ“ฆ Newtuple will provide the starter project, sample catalog, test infrastructure, and setup instructions. The preparation guide will specify supported software, account requirements, and any costs. Participants should complete a setup check before the event so that lab time can focus on the build.


โ€‹Workshop scope

โ€‹๐Ÿงช We will build learning prototypes using sample data. The commerce workflow will end with a draft cart or quote request. Manufacturing examples will focus on parts, distribution, procurement, and service workflows.

โ€‹The AEO exercise will produce an audit and improvement plan. Changes in search visibility must be measured after the workshop. You will leave with reusable examples and a practical next step for your organization.


โ€‹Call for speakers: Open Google Form


โ€‹Location

โ€‹๐Ÿ“ Newtuple Technologies, Balewadi, Pune


โ€‹About AAIF

โ€‹The Agentic AI Foundation (AAIF) is a community dedicated to advancing the understanding and practical application of agentic AI. We bring together engineers, researchers, founders, builders, and AI enthusiasts to explore how autonomous AI systems are designed, evaluated, and deployed.

โ€‹Through reading groups, workshops, and community discussions, AAIF brings together engineers, researchers, founders, and AI enthusiasts to exchange ideas, challenge assumptions, and learn from one another.

โ€‹By attending you agree to our Code of Conduct and Privacy Policy.

โ€‹Linux Foundation Code of Conduct

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Pune, India
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