Operationalizing LLMs: From Prototype to Production
At Instacart, large language models (LLMs) play a crucial role in enhancing the grocery shopping experience and streamlining support for both customers and shoppers. Two key use cases showcase the transformative potential of AI:
AI-Generated Recipes: Instacart employs LLMs to create recipes based on top SEO-searched keywords, ensuring relevance in online searches and customer engagement. These AI-generated recipes are paired with visually appealing, AI-created images to further captivate users and enhance discoverability. This involves developing a complex AI recipe ingestion pipeline.
AI-Powered Chatbot: Instacart leverages LLMs at scale to build intelligent chatbots that address customer and shopper inquiries efficiently. By understanding context and providing accurate, conversational responses, these chatbots solve issues ranging from order updates to product guidance, reducing support friction.
Both use cases highlight how LLMs are driving innovation and operational efficiency in a fast-paced, customer-centric environment.
Speakers
Yogiraj Awati — Engineering Manager at Instacart. Yogiraj is a seasoned technology leader with over a decade of expertise in distributed computing, Agentic AI, and large language models (LLMs). As part of Instacart’s leadership team, he is driving the transformation of grocery shopping through cutting-edge AI solutions, digitizing customer experiences, and empowering retailers with a comprehensive suite of AI-powered offerings.
Previously, Yogiraj contributed to Amazon Web Services (AWS) as a founding member of the AWS X-Ray team, where he helped develop it into a leading observability service.
Launch partner
AgentField is open-source infrastructure for building autonomous software factories and the AI backends that power them. It gives multi-agent systems a single control plane for orchestration, governance, and provenance - so every action your agents take is policy-checked and accountable, with no glue code and no editable logs. Apache 2.0, with SDKs in Python, TypeScript, and Go.
Partners
AI Tabir is an AI adoption platform that helps small businesses run like self-driving companies — AI takes on the operational busywork while owners stay in control of the decisions that matter. It starts with a free assessment that maps how a business actually works and pinpoints where time and money leak out — missed calls, unanswered leads, quotes with no follow-up, overdue invoices — then deploys industry-tuned AI agents, managed end to end, to handle that work. Rather than selling another tool, the platform delivers the work itself and keeps adapting as each business grows, across industries including automotive, HVAC, media, and video production.
KROK
The AI Collective is a global non-profit building the human layer for the AI era. We unite 200,000+ leaders, builders, and stakeholders across 150+ forums worldwide to democratize the frontier, build trust, and coordinate how society navigates the rapid acceleration of technological progress.