iShruti
iShruti
Speakers who've run retail — merchandising, stores, e-commerce. Real prices upfront, shortlist in 24 hours.
Retail is the most visible frontier of AI — the place where hundreds of millions of people encounter it every day, usually without noticing. Personalization, forecasting, and conversational commerce are rebuilding how products are discovered, priced, and bought. We curate speakers who have operated inside retail, not borrowed its examples.
Retail is a thin-margin, high-velocity business where AI advantages compound fast and mistakes are punished quickly. A speaker who can only talk about AI in the abstract will not help a room of merchants and brand leaders who live by inventory turns and conversion rates. Our speakers connect AI to the metrics that run the business.
We serve retail and consumer-brand leadership teams, e-commerce and marketing organizations, industry associations, and conferences that need AI intelligence grounded in the realities of merchandising, supply, stores, and the modern consumer. If your audience owns a number, we have a speaker who has owned it too.
Someone who has owned the P&L.
Not a marketing futurist. These speakers have run merchandising, stores, and e-commerce — booked to tie AI to the metrics that run retail, priced upfront, shortlisted in 24 hours.
Hundreds of millions of people meet AI in retail every day — usually without noticing. The brands shaping that experience win share.
Forecasting, pricing, and markdowns hit the P&L directly — a few points define the quarter.
Agentic commerce is coming: when the shopper is an AI agent, the rules of merchandising get rewritten.
The AI-enabled store — computer vision, scheduling, associate copilots — the half that pure e-comm pundits miss.
AI-powered personalization: from recommendation engines to shopping assistants
Generative AI in merchandising, content, and creative
Demand forecasting, inventory, and markdown optimization with machine learning
Conversational and agentic commerce: selling when the shopper is an AI
The AI-enabled store: computer vision, loss prevention, and associate copilots
Pricing and promotion in the machine-learning era
First-party data, privacy, and the personalization trade-off
AI and the transformation of retail customer service
From supply chain to shelf: AI across the retail value chain
Building an AI roadmap for a thin-margin retail business
AI and retail media: the new margin engine
The DTC & CPG playbook: AI when you don't own the shelf
Need a different angle? Every talk is customized to your audience.
Hire a speakerIn-person, on your main stage.
Remote keynote or fireside.
Multi-voice sessions.
One price, our 17.5% printed inside it. Travel at cost, capped. No surprise line-items — ask any bureau to show you theirs. Working sessions on your merchandising or pricing questions are a favorite retail format — ask us.
2 minutes, no account
verified speakers, real prices, in 24 hours
contracts, payment, and logistics handled
Five questions every organizer asks — tap one.
A retail operator — someone who has owned merchandising, e-commerce, or store operations — brings credibility with a retail audience and grounds AI in real business metrics. A martech expert may go deeper on personalization and data infrastructure. For most retail audiences, an operator who understands both the technology and the P&L lands best.
Yes. The AI priorities of a pure e-commerce business, an omnichannel retailer, and a consumer-goods brand selling through others differ meaningfully. A speaker who understands your specific model will bring examples that resonate rather than generic retail anecdotes. Tell us your model and we will match for it.
Yes, and it is worth being clear about your emphasis. Some speakers focus on the front end — personalization, marketing, and experience — while others focus on the engine room of forecasting, inventory, and pricing. The strongest retail keynotes connect the two. Let us know where your audience needs the most depth.
Retail audiences respond to concrete, current examples tied to real metrics over broad predictions. A fast-moving, example-rich keynote works well, and for leadership teams a working session on your specific merchandising, pricing, or personalization questions can deliver even more value.
Fees vary by the speaker's profile, track record, and format. Our platform shows each speaker's fee range transparently, with a flat 17.5% platform fee and no hidden markups, so you can match the engagement to your budget.
Rather we just figure it out for you?
Get a shortlist$10K–$30K for most events; virtual from $2,500. The price you see is the whole price — our 17.5% is printed inside it.
We individually check identity, real work, and stage skill. Every speaker. No exceptions.
Yes — we source for speakers who understand consumer-packaged-goods and direct-to-consumer brands, where the AI questions around data, distribution, and personalization differ from those of a traditional retailer.
Yes. As personalization depends more on first-party data and privacy expectations tighten, we vet for speakers who can address the data and privacy trade-offs honestly rather than treating personalization as consequence-free.
Yes. The AI dynamics differ across grocery, apparel, hardlines, and other segments, and we can match speakers with relevant category experience. Share your segment and we will prioritize it.
Yes. Most of our speakers offer virtual and hybrid formats, which suit distributed retail and brand teams and large industry events.