The Ecommerce Leader Series

Show Notes:

In this episode of the E-commerce Leaders Series, Ciske Smit sits down with Jeroen Nas, Co-Founder and CEO of Vemt, the Amsterdam-based experience and loyalty cloud helping retailers and brands turn customer loyalty into a real growth channel. Jeroen has been building Vemt for more than two decades — a rarity in an industry where most founders move on every three to four years — and was recently named the most influential CEO in Amsterdam's marketing technology scene.

Jeroen shares how a background in banking (including building one of Europe's first internet banks at Rabobank) shaped his obsession with using technology to deepen — not replace — human relationships. He walks through the pitfalls of "superficial KPIs" like likes and quick ad wins, why brands over-rely on paid channels even as customer acquisition costs climb, and how agentic commerce is about to strip away the front end of e-commerce as we know it.

🧠 What You'll Learn In This Episode:

• Why treating customers as a generic label (like "bookers") blinds you to your biggest growth opportunity
• How to spot when a business is optimizing for superficial KPIs instead of long-term customer value
• Why short marketer tenure (1.4 years on average) drives short-term ad spending over relationship-building
• How agentic commerce will change the front end of e-commerce — and why that makes direct customer relationships more valuable, not less
• How to turn a static monthly report into an "action engine" that recommends the next move automatically
• Why GEO (generative engine optimization) is a temporary fix, not a long-term strategy
• A simple budget rule of thumb for splitting spend between advertising and relationship-building

💡 Key Takeaways:

• Ownership beats rented attention. Every dollar spent on ads makes the ad platforms richer; every dollar spent on direct relationships builds an asset you own — the data, the channel, and the ability to reach your customer directly.
• Repeat customers are where the real margin lives. Acquiring a customer for the third or fifth time through the same paid channel often costs more than converting them into a loyal, directly-reachable member.
• AI's biggest near-term value isn't answering questions — it's taking action. Businesses that use AI to auto-generate and launch the next campaign save more time than those using it just for reporting or search.
• Agents don't have relationships — and that's exactly why relationships matter more. As agentic commerce strips away discovery through storefronts and social content, brands with a direct line to their customers will be far more insulated.
• Observation is data too. Many teams chase more dashboards and numbers without ever validating assumptions in the real world — talking to actual users remains one of the highest-leverage (and most skipped) research methods.

🔗 Connect with Jeroen & Vemt:

🌐 Website: vemt.com

💼 LinkedIn: https://www.linkedin.com/in/jeroennas/

About Luca

Luca is an AI operating system for e-commerce leaders — connecting marketing, finance, operations and data into a single intelligence layer that helps founders make faster, sharper decisions.

🔗 Connect with Luca here:

YouTube: https://www.youtube.com/@ask_luca

LinkedIn: https://www.linkedin.com/company/asklucaai/

Website: https://ask-luca.com/

🎙️ Listen to the E-commerce Leader Series

A podcast exploring how founders and operators are navigating the future of e-commerce with AI, automation, and new technologies.

Subscribe for conversations with founders, operators, and investors shaping the next generation of digital commerce.

In this episode of the E-commerce Leader Series, Eric Bidinger sits down with Alex Farkas, Co-Founder & Gallery Director of UGallery, the curated online gallery representing 300 emerging and mid-career artists — and proof that people really will spend thousands of dollars on original art they've never seen in person. This year marks UGallery's 20th anniversary, a journey that began as a University of Arizona business school project bridging art students and professional artists, funded entirely by business-plan competition winnings and Alex and his co-founder's own savings when they launched in 2006.

Alex is refreshingly honest about who actually buys art online: mostly people who already love original art but don't live near a gallery scene, or are simply too busy to browse openings — like the San Francisco couple who look forward to UGallery's weekly email and browse it together over Sunday coffee. Free shipping, free returns and custom art boxes remove the practical risk; what remains is the emotional one, which UGallery leans into rather than around. As Alex puts it, people aren't just buying decoration — they're buying identity, emotion, memory and a genuine connection to the artist who made the piece.

A pivotal shift in the business was realising UGallery isn't an art gallery trying to market art — it's a marketing team that happens to sell art. That reframe put storytelling at the center: one clear, relatable story per artist and per piece, told consistently to a single imagined customer named Mary, rather than a diffuse audience. Trust is built the way any strong e-commerce brand builds it — a professional site, transparent policies, multiple detailed images per piece — but also through a distinct curatorial eye and small, human touches like handwritten thank-you notes on every order, which help explain UGallery's high repeat-purchase rate two decades in.

Eric and Alex also tackle a genuinely interesting question: could an algorithm ever recommend art the way Spotify recommends music? Alex's experience trying this a decade ago suggests not — art buying is closer to falling in love than solving for a variable, though he sees real potential for AI to narrow a set of options by simple factors like budget or room size, leaving the emotional spark entirely human. On the artist side, UGallery is built on real relationships rather than marketplace scale: some artists who joined in 2006 are still represented today, nurtured through welcome calls and an early "chicken and egg" strategy of offering signup bonuses just to build a critical mass of quality work.

Whether you're selling something deeply personal, building trust before a customer ever converts, or wondering where AI genuinely fits into an emotional purchase, this episode offers a thoughtful, hard-won perspective.

🎨 What you'll learn in this episode:

• Why buyers choose curated online art over local galleries
• How reframing as "a marketing team that sells art" changed everything
• Building one consistent story around a single customer persona
• The trust factors that matter most for a first-time, high-emotion purchase
• Why handwritten thank-you notes still matter at scale
• Why art recommendation algorithms have repeatedly fallen short
• Where AI could help narrow choices without replacing emotional discovery
• Solving the "chicken and egg" problem of artists and customers
• Building genuine, decades-long relationships with artists, not a marketplace

💡 Key takeaways:

• People buy how art makes them feel, not the art itself
• One clear, relatable story beats a flood of information every time
• Small human touches compound into loyalty and high repeat purchase rates
• Some purchases resist algorithmic optimisation — and that's worth protecting

🖼️ Connect with Alex Farkas & UGallery:

LinkedIn: https://www.linkedin.com/in/alex-farkas-a507a86/

Website: https://www.ugallery.com

About Luca

Luca is an AI operating system for e-commerce leaders — connecting marketing, finance, operations and data into a single intelligence layer that helps founders make faster, sharper decisions.

🔗 Connect with Luca here:

YouTube: https://www.youtube.com/@ask_luca

LinkedIn: https://www.linkedin.com/company/asklucaai/

Website: https://ask-luca.com/

🎙️ Listen to the E-commerce Leader Series

A podcast exploring how founders and operators are navigating the future of e-commerce with AI, automation, and new technologies.

Subscribe for conversations with founders, operators, and investors shaping the next generation of digital commerce.

In Episode 68 of the E-commerce Leader Series, Eric Bidinger sits down with Atul Vir, Founder & CEO of Equator Advanced Appliances, the Houston-based company that has spent 35 years proving a smaller player can out-innovate the giants of the appliance industry. Atul started Equator in 1991 as an import-export business, bringing European washers, dishwashers and refrigerators to the US after struggling to find a front-loading combo washer-dryer for his own apartment. As Europe's manufacturing base shifted to China around the turn of the millennium, Equator evolved with it — moving from importing, to joint-venture manufacturing, to its current model: exclusive designs built by 25 manufacturing partners worldwide, the same asset-light approach Apple uses with Foxconn.

Atul's argument is that big companies have scale and R&D budgets, but rarely leaders willing to take a real risk — the Steve Jobs or Akio Morita types who override their own engineers. Founder-led companies like Equator can conceive an idea, test it with engineering partners within days, and ship in months rather than years. That speed shows up in inventive niche products: a sanitizing wash cycle born from COVID-era hygiene anxiety, reinforced suspension so RVs can mount washing machines at the back without them bouncing loose, and new "pet programs" across appliances for a generation choosing pets over children.

Competing against the "big six" without a mass-advertising budget means winning on substance — matching or beating big brands on warranty and service, with zero excuses when something breaks, because trust is built by how a company handles the moments things go wrong. Marketing is deliberately narrow: retailer placements where customers are already shopping, not broad awareness aimed at people who'll never buy. And with products from a $300 microwave to a $3,000 six-zone wine fridge, Atul's rule is blunt: you have about three seconds to explain the problem you solve before a customer moves on.

On operations, Atul describes running supply chains through tariffs that jumped from single digits to 50–60% overnight, shipping disrupted by war, and 200+ SKUs without a reliable forecast — solved by securing supplier relationships early and building slack into cash flow. On AI, his stance is direct: it's mandatory company-wide, aimed at quadrupling productivity, with a promise that nobody loses their job for it. Equator already uses AI in advertising content, inventory variance analysis, and customer service — helping diagnose mechanical faults and moving toward multilingual, conversational support via QR codes on every product.

Whether you're building a challenger brand against giants, tightening supply chains under tariff pressure, or figuring out how AI fits your team without threatening it, this episode is full of hard-won, practical wisdom — including Atul's closing advice, borrowed from Bill Gates: never plan further ahead than 90 days.

📋 What you'll learn in this episode:

• How Equator went from importer to owning exclusive designs built by 25 global partners
• Why founder-led speed can beat big-company scale and R&D budgets
• Real examples of niche innovation: sanitizing cycles, RV suspension, pet programs
• Winning trust without a mass-marketing budget, one retailer placement at a time
• Why you have three seconds to explain your product before a customer moves on
• Navigating tariffs, shipping disruption and 200+ SKUs without perfect forecasts
• Making AI adoption mandatory while guaranteeing job security
• Practical AI use cases in advertising, inventory analysis and customer service
• Why every business, however established, should think like a 90-day startup

💡 Key takeaways:

• Innovation is simply finding a real solution to a real customer problem
• Trust is built by how you handle it when something breaks, not by avoiding blame
• Being small means fighting harder for every customer, with zero excuses
• AI should raise productivity and job security together, not one at the expense of the other

🏠 Connect with Atul Vir & Equator Advanced Appliances:

LinkedIn: https://www.linkedin.com/in/atulvir/

Website: https://www.equatorappliances.com

About Luca

Luca is an AI operating system for e-commerce leaders — connecting marketing, finance, operations and data into a single intelligence layer that helps founders make faster, sharper decisions.

🔗 Connect with Luca here:

YouTube: https://www.youtube.com/@ask_luca

LinkedIn: https://www.linkedin.com/company/asklucaai/

Website: https://ask-luca.com/

🎙️ Listen to the E-commerce Leader Series

A podcast exploring how founders and operators are navigating the future of e-commerce with AI, automation, and new technologies.

Subscribe for conversations with founders, operators, and investors shaping the next generation of digital commerce.

In Episode 67 of the E-commerce Leader Series, Eric Bidinger sits down with Baptiste Briel, Co-Founder & CEO of Antinomy Studio, the Amsterdam-based creative studio behind digital experiences for Google, Shopify, MetaMask, Adyen and more. This is a deliberately different kind of conversation — less about running an e-commerce business, more about the bigger question hanging over all of them: as AI reshapes how people discover, shop and interact, what does the next generation of digital experience actually look like?

The episode opens with a rapid-fire round of five provocative statements, and Baptiste's answers set the tone for everything that follows. He disagrees that the homepage is becoming irrelevant — it's still the front door to a brand's story, even as more shopping happens off-site. He agrees that most e-commerce sites look different but feel the same, arguing predictability is often a deliberate, safe choice (it's a big reason Shopify checkouts convert so well) rather than a failure of imagination. And he's unequivocal that beautiful design without business results is just decoration.

Baptiste's central argument is that great creative work starts with understanding a client's business, not with a designer's own taste or ego — the best work, he says, comes from designers who've stopped designing for themselves. He shares how Antinomy's job is often translating deeply technical, complex ideas (robotics, AI, space infrastructure) into something that feels natural and effortless to use, and why even small decisions, like whether to add a page transition, need to be weighed against real business impact, not just aesthetic appeal.

On AI and the future of commerce, Baptiste sees interfaces moving toward conversation — the chatbot as checkout, context replacing navigation — while still believing there's a lasting place for intentional, crafted interface design at the right moments. He's candid about AI's double edge: it has made low-effort, "AI slop" branding trivially easy to generate, which paradoxically makes genuine creative distinctiveness more valuable, not less. His philosophy: use AI to handle the repetitive, unglamorous work so humans have more time for the thinking, walking and noticing that actually produces good ideas — "I want AI to do my laundry, not my art."

For anyone earlier in their career, his advice is refreshingly old-school: learn to do the work yourself before you let AI do it for you, so you can actually judge whether the output is any good.

Whether you're rethinking your brand's digital experience, wondering where AI fits into creative work, or just curious what commerce looks like after the homepage, this episode offers a genuinely different lens on where things are heading.

🎨 What you'll learn in this episode:

• Why the homepage still matters even as AI reshapes discovery and checkout
• The balance between predictable, safe UX and genuine brand differentiation
• Why great design requires understanding business objectives, not just taste
• Translating complex technical products into intuitive digital experiences
• How conversational interfaces are starting to replace traditional navigation
• Why "AI slop" branding makes real creative distinctiveness more valuable
• Using AI to remove repetitive work so humans have time to think and create
• The case for learning skills manually before automating them
• What the "agentic web" might mean for the future of e-commerce

💡 Key takeaways:

• Predictability in UX is often a deliberate choice, not a lack of imagination
• Design without business results is just decoration
• The commoditisation of easy creativity makes true creative distinctiveness more valuable
• Let AI handle repetitive tasks so people have more time for real creative thinking

🌐 Connect with Baptiste Briel & Antinomy Studio:

Website: https://www.antinomy.studio

Personal site: https://www.baptistebriel.com

About Luca

Luca is an AI operating system for e-commerce leaders — connecting marketing, finance, operations and data into a single intelligence layer that helps founders make faster, sharper decisions.

🔗 Connect with Luca here:

YouTube: https://www.youtube.com/@ask_luca

LinkedIn: https://www.linkedin.com/company/asklucaai/

Website: https://ask-luca.com/

🎙️ Listen to the E-commerce Leader Series

A podcast exploring how founders and operators are navigating the future of e-commerce with AI, automation, and new technologies.

Subscribe for conversations with founders, operators, and investors shaping the next generation of digital commerce.

In Episode 66 of the E-commerce Leader Series, Eric Bidinger sits down with Steve Saxton, Founder & President of Bravuro Cellars, an Oregon winery built on a deliberately contrarian idea: don't chase growth, chase the right size. After 33 years in health, fitness and hospitality — including running a $110 million company with 55 locations — Steve reinvented himself at 60, turning a weekend hobby making one barrel of wine with his wife Luci into a full-time business built entirely on his own terms.

The name says it all. Bravuro means doing something daring, and very well. Instead of opening another winery in California's Lodi region (where he and Luci already lived, a half hour from Napa), Steve took his big, bold red wines to Oregon's Willamette Valley — Pinot Noir country, where 96% of tasting rooms pour Pinot and bringing hot-climate reds felt, in his words, "blasphemous." A decade later, the reviews are five stars across the board and the community, if not the wine industry establishment, has embraced it completely.

Steve's business model is a masterclass in intentional constraint. Bravuro makes 200 cases of wine a year — full stop. Scaling into distribution would mean 25,000 cases and an entirely different, more corporate business he has zero interest in running. Instead, it's a direct-to-consumer wine club, drawing on the membership playbook from his fitness-industry career: 70% of sales go straight to club members, so the business isn't dependent on daily walk-in traffic. Loyalty comes from two disciplined things done well — a genuinely good product and a memorable experience — rather than the one-dimensional, beautiful-venue-mediocre-wine model he's watched fail nearby.

He's also refreshingly candid about AI. Bombarded daily by cold pitches promising to "double his business," Steve is deeply skeptical of AI applied to sales and customer touch points — he doesn't want to farm emails from visitors any more than he wants to receive them himself. But the conversation surfaces a sharper distinction: the operational and analytical work he already does by hand, like modeling whether absorbing shipping costs would retain more wine club members, is exactly the kind of problem well-suited to data tools, whatever you choose to call them. At 70, Steve still prefers the pivot table and the pencil — not because the outcome would differ, but because working through the variables himself is part of what he loves about running the business.

Above all, this episode is about organic growth and authenticity in an increasingly AI-saturated world. Bravuro spends almost nothing on advertising; nearly all of its growth has come from word of mouth, one good glass of wine and one honest conversation at a time.

Whether you're building a business designed for a specific season of life, deciding what NOT to scale, or thinking about where automation genuinely earns its keep, this episode offers a compelling counter-narrative to relentless growth.

🍷 What you'll learn in this episode:

• Why Bravuro deliberately caps production at 200 cases a year
• Choosing direct-to-consumer and a wine club over wholesale distribution
• Building loyalty through a genuinely good product plus a memorable experience
• The power of a contrarian bet: bold reds in Pinot Noir country
• Staying true to a 10-year-old business plan without style drift
• Why Steve says no to nearly every AI and "growth hack" pitch he receives
• The real distinction between AI for sales pressure and AI for operational decisions
• How to model trade-offs like absorbing shipping costs to retain customers
• Why organic, word-of-mouth growth beats an advertising budget
• Planning an endgame for a business built around its founder

💡 Key takeaways:

• Growth is a choice, not an obligation — staying small can be the strategy
• A great product and a memorable experience together build lasting loyalty
• Authenticity cannot be manufactured; it has to actually be true
• Even skeptics of AI benefit from the same rigorous, data-driven thinking

🍇 Connect with Steve Saxton & Bravuro Cellars:

LinkedIn: https://www.linkedin.com/in/steve-saxton-9176a44/

Website: https://www.bravurocellars.com

About Luca

Luca is an AI operating system for e-commerce leaders — connecting marketing, finance, operations and data into a single intelligence layer that helps founders make faster, sharper decisions.

🔗 Connect with Luca here:

YouTube: https://www.youtube.com/@ask_luca

LinkedIn: https://www.linkedin.com/company/asklucaai/

Website: https://ask-luca.com/

🎙️ Listen to the E-commerce Leader Series

A podcast exploring how founders and operators are navigating the future of e-commerce with AI, automation, and new technologies.

Subscribe for conversations with founders, operators, and investors shaping the next generation of digital commerce.

In Episode 65 of the E-commerce Leader Series, Bryan Kinghorn sits down with Omid Moallemi, Founder & CEO of Prsnt, the Brighton-based gifting marketplace on a mission to drag gift-giving out of the Victorian era. Prsnt lets you send a real, branded gift — a coffee, a pint, a Selfridges hamper — instantly, using nothing but someone's phone number: no address, no wrapping, no waste. Alongside the consumer app sits a fast-growing B2B business that powers digital gifting for enterprise clients like O2 Priority.

A product designer by trade, Omid had the idea back around 2014: "why can't I just text a friend a pint on their birthday?" Texting had become how people marked birthdays and said thank you, but it was never built for gifting — Amazon was too slow and Moonpig needed an address nobody knew, while everyone has everyone's phone number. With co-founder David Parr, he built Prsnt during lockdown, and got humbled fast. The early versions asked for too much data; stripping the recipient flow back to one-click sign-up took conversion to around 98%.

The turning point was a cold email (address guessed) to Ogilvy's Rory Sutherland, who not only replied but diagnosed Prsnt's cold-start problem — like a fax machine, useless until other people have one too — and designed the fix. M&S gave away bags of Percy Pigs (cheap customer acquisition for them), O2 gave its customers "the gift of giving," and every gift sent grew Prsnt's network. The result: 40,000 bags gone in 17 minutes and tens of thousands of sign-ups in a week — with Prsnt actually getting paid to acquire each customer.

What surprised the team was that more than 60% of gifts weren't for birthdays at all — they were "just because" moments ("you seemed down, here's a meal"), turning Prsnt into a kind of love language. That authenticity, plus a relentless go-for-the-biggest-brands-first approach, won over major partners and, eventually, the Dragons. After a nerve-shredding three hours in the Den (and an app that broke the morning of filming), Omid and David won over three of the five Dragons.

On AI, Prsnt waited rather than shoehorning it in. On the consumer side they've built a gifting-suggestion tool named Rory, after their advisor. Under the bonnet, they've wired Claude and MCP into their bespoke admin panel to pull data and build campaigns in a fraction of the time — soon letting B2B partners self-serve ("give away 100,000 chocolate bars in December, here's the budget, make it happen") using historic campaign and redemption data. As a founder, Omid uses Claude for cash-flow forecasts and gifting analysis straight from live data, turning a week of manual work into a day. His view: AI makes a good team excellent.

Whether you're building a marketplace, cracking a cold-start problem, or working out where AI genuinely helps, this episode is full of hard-won, generous insight.

🎁 What you'll learn in this episode:

• How Prsnt sends real, branded gifts with just a phone number
• Why gifting is "stuck in the Victorian era" and how to change the behaviour
• Stripping a sign-up flow back to hit around 98% conversion
• The Rory Sutherland cold email and the cold-start problem
• The Percy Pigs growth hack that got Prsnt paid to acquire customers
• Why most gifts are "just because" — gifting as a love language
• Going for the biggest brand partners first, and why it works
• What Dragons' Den is really like behind the scenes
• Using Claude and MCP to run campaigns and forecasts faster
• Building a frictionless B2B gifting product alongside the app

💡 Key takeaways:

• Remove friction relentlessly — one-click flows convert
• Solve the cold-start problem with partners who benefit from giving
• Generosity is an underrated commercial tool, not just a nice-to-have
• "No is just a premature yes" — resilience is the founder's edge

🤝 Connect with Omid Moallemi & Prsnt:

LinkedIn: https://www.linkedin.com/in/omidmoallemi/

Website: https://prsnt.co.uk

About Luca

Luca is an AI operating system for e-commerce leaders — connecting marketing, finance, operations and data into a single intelligence layer that helps founders make faster, sharper decisions.

🔗 Connect with Luca here:

YouTube: https://www.youtube.com/@ask_luca

LinkedIn: https://www.linkedin.com/company/asklucaai/

Website: https://ask-luca.com/

🎙️ Listen to the E-commerce Leader Series

A podcast exploring how founders and operators are navigating the future of e-commerce with AI, automation, and new technologies.

Subscribe for conversations with founders, operators, and investors shaping the next generation of digital commerce.

In Episode 63 of the E-commerce Leader Series, Bryan Kinghorn sits down with Charlie O'Connor, Founder & Chairman of CynestX, the fully-funded e-commerce incubator he has built from a village in County Fermanagh, Northern Ireland — with the ambition of becoming the largest e-commerce incubator on the planet. After nearly 20 years in e-commerce across the UK, US and Europe, Charlie kept hitting the same wall while mentoring small businesses: government-funded support would run out just as a company was ready to do something great. CynestX is his answer — privately and sponsor-funded mentoring that stays with founders for the long haul.

Born during COVID as a give-back to the Irish tech community, CynestX now runs fully-funded 12-month programmes across two tracks: Incubation (idea to launch — roadmap, competitor and pricing analysis, company setup, accounting and business planning, all milestone-tracked) and Scale (growing internationally). It is backed by the CynestX Academy of around 300 CPD-accredited courses, and the journey is handheld from first idea through product development, IP and even banking, all the way to launch and beyond.

Charlie is candid about the hard-won lessons: don't overpromise, and never run the business for the founder — the goal is to educate people to stand on their own, with long-term support that government mentoring never offers once the funding stops. Money comes from private investors, family offices and local sponsorship, stitched together with clever partnerships (co-working spaces, local platforms) that keep costs down. The results speak for themselves — one early company is now among the world's largest online trucking-lifestyle brands, shipping worldwide from a village.

On AI, Charlie is a recent but enthusiastic convert. He uses it as a companion to structure his thinking at the end of a long day, and a voice assistant for reminders on the road. CynestX has built AI into its own model too: a personalised in-platform handholder that remembers each founder, and specialist AI mentors (for example, on setting up a business in Morocco) that handle routine expertise so human mentors can focus where they matter most. His stance is clear — AI should enhance, not replace — and natural-language, visual and voice search are the future of how people will shop.

For his founders, the biggest game changer is creative and marketing AI: professional branded imagery from a logo in minutes, bundle visuals and consistent product photos, all from a phone. Add AI customer support for delivery and order tracking (now built into Shopify, Wix, Squarespace and Shopwired) and natural-language website translation for international trade, and there has never been a better time to start. But Charlie is firm that judgement stays human — product selection, brand and design decisions, and his reminder that if AI wrote your book, you didn't write a book.

Whether you're launching your first store, scaling internationally, or working out where AI helps a small business, this episode is full of grounded, generous advice.

🎧 What you'll learn in this episode:

• Why government-funded mentoring runs out just as founders are ready to grow
• How CynestX funds 12-month incubation through sponsors and family offices
• The two-track model: incubation to launch, then scaling internationally
• Why you should educate founders to stand alone, not run the business for them
• Using AI as a companion tool, and building AI mentors into a business
• Why creative and marketing AI is the biggest game changer for small founders
• How AI customer support levels the playing field on delivery
• The human skills that matter more than ever: judgement, brand and product decisions
• Rapid-fire advice: launch pre-orders before buying stock, and lead with socials
• Why analytics and conversion, not vanity metrics, decide success

💡 Key takeaways:

• Support should educate founders to stand on their own, not create dependency
• AI should enhance human judgement, not replace it — the decisions stay human
• The biggest quick wins for small founders are in creative, marketing and delivery
• Concentrate on sales: a brand with no sales is just a brand with no sales

🌐 Connect with CynestX:

Website: https://www.cynestx.com

Luca is an AI operating system for e-commerce leaders — connecting marketing, finance, operations and data into a single intelligence layer that helps founders make faster, sharper decisions.

🔗 Connect with Luca here:

YouTube: https://www.youtube.com/@ask_luca

LinkedIn: https://www.linkedin.com/company/asklucaai/

Website: https://ask-luca.com/

🎙️ Listen to the E-commerce Leader Series

A podcast exploring how founders and operators are navigating the future of e-commerce with AI, automation, and new technologies.

Subscribe for conversations with founders, operators, and investors shaping the next generation of digital commerce.

In this episode of the E-Commerce Leaders' Series, Bryan Kinghorn sits down with Shelley Gupta, Founder & CEO of BāKIT Box, a DIY baking kit company that introduces children to cultural education and STEM learning. After a career in strategy and finance, Shelley launched the business to solve two glaring problems: the severe lack of diversity in the legacy grocery baking aisle, and a school system where 56% of students are children of color, yet less than a quarter of the curriculum reflects diverse cultures. BāKIT Box is her answer—blending empathy, global awareness, and education through the universal language of food.

Launched three years ago, BāKIT Box has learned hard-won lessons about product-market fit and operations. After an early attempt at shipping perishable ingredients proved to be a logistical nightmare, Shelley pivoted to shelf-stable kits. Today, the business operates a highly successful D2C model offering one-off kits and a rotational subscription that represents 20 to 30 different countries a year. They have also successfully expanded into B2B and retail, securing online distribution with Costco and Michaels, placements in 16 museum gift shops, and accreditations as a recognized homeschool curriculum provider.

Running a lean team, Shelley has enthusiastically embraced AI to help scale operations and sharpen her strategy. BāKIT Box uses AI to automate disjointed platform data for fulfillment, research the origins of global flavors alongside their pastry chefs, and validate (or challenge) executive decisions using customer data. On the marketing front, Shelley utilizes AI to synthesize disparate blog posts and copy into a unified, definitive brand voice that keeps her team aligned.

Whether you're building a D2C subscription brand, navigating the complexities of physical food inventory, or figuring out how a lean startup can use AI to punch above its weight, this episode is full of practical, grounded advice.

🎧 What you'll learn in this episode:

• Why legacy baking brands have ignored cultural diversity, and how to fill the gap
• How BāKIT Box pivoted from shipping perishable goods to a scalable, shelf-stable model
• The mechanics of running a rotational subscription box that keeps retention high
• How to gain credibility through awards, museum partnerships, and homeschool accreditations
• Using AI to automate backend fulfillment and connect disjointed operational platforms
• How to use AI to research global flavors and challenge your own business assumptions
• Feeding raw copy into AI to extract and build a standardized brand voice deck
• How an Indian-Canadian founder's identity shapes a product built entirely around empathy and diversity

💡 Key takeaways:

• Listen to your actual buyers: pivoting to your real demographic (parents of 7-9 year olds) is crucial for growth
• Lean teams must use AI for backend automation to create a single source of truth for operations
• AI is an incredible tool for validating decisions, but strategy and product creation should still remain human-led
• Building authentic credibility (homeschool approvals, awards) is the strongest foundation for organic word-of-mouth marketing

🌐 Connect with BāKIT Box:

Website: https://www.bakeitbox.com

LinkedIn: https://www.linkedin.com/in/shelley-gupta/

About Luca

About Luca Luca is an AI operating system for e-commerce leaders — connecting marketing, finance, operations and data into a single intelligence layer that helps founders make faster, sharper decisions.

🔗 Connect with Luca here:

YouTube: https://www.youtube.com/@Ask_Luca

LinkedIn: https://www.linkedin.com/company/asklucaai/

Website: https://ask-luca.com/

🎙️ Listen to the E-commerce Leader Series A podcast exploring how founders and operators are navigating the future of e-commerce with AI, automation, and new technologies.

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In Episode 62 of the E-commerce Leader Series, Eric Bidinger sits down with Huw Wright, CFO of The Curious Drinker, the UK subscription business (formerly Craft Gin Club) that has built one of the country's leading drinks clubs by selling experience and discovery rather than just bottles. Huw came up through the drinks world — from William Grant & Sons to running a distillery in Edinburgh — and joined The Curious Drinker less than a year ago, bringing a CFO's eye to a business built on community, storytelling and curation.

Each month, members receive a curated box: a full bottle (gin at its heart, now rum and expanding into new categories), a mixologist's perfect-serve cocktail, snacks, and a magazine with Q&As from the distillers themselves. The real product is the experience — access to makers you couldn't reach otherwise, virtual (and soon in-person) meet-the-distiller events, and a feedback loop that helps small producers test new ideas with a captive, curious audience.

Huw breaks down the customer base with a CFO's precision. There's a core of 35-to-45-year-olds, largely female, who love de-risked discovery — being told what they're getting. And there are 18-to-30s who are drinking less (those recording that they drink less jumped from around 30% in 2018 to roughly 49% in 2023), are price-conscious above about £30, and buy for the story so they have the authority to talk about it. Both groups are driven by the thing the drinks category does so well: storytelling that genuinely changes how a product is experienced and valued.

As CFO, Huw's first move wasn't acquisition — it was churn. With Meta and SEO costs climbing, he treated the business like a leaking bucket: find and plug the hole before pouring more in. He removed friction like the call-to-cancel requirement, asked lapsed members why they left, and anchored everything to unit economics — how many boxes it takes to cover customer acquisition and fixed costs, and how to keep members long enough (around ten boxes) to become profitable. His clear message: retention is the singular objective from the very first hour, and the biggest misconception in subscription is ignoring "subscription fatigue" while chasing short-term acquisition wins.

Behind the scenes, the hardest problem is demand planning against tiny distillery capacity — a single monthly box can represent a distillery's half-year output, ordered up to a year ahead — balanced against cash runway, since over-ordering ties up money that could fund growth. Fulfilment is outsourced to stay flexible. On AI, Huw is early but sees clear potential in demand forecasting and faster, timelier reporting once the acquisition-and-retention engine is properly dialled in.

Whether you're running a subscription business, wrestling with churn and unit economics, or building a brand around community and discovery, this episode is full of candid, practical insight from the finance seat.

🎧 What you'll learn in this episode:

• Why The Curious Drinker sells experience and discovery, not just bottles
• How to build community and a feedback loop that benefits small producers
• What separates the 35-45 and 18-30 customer cohorts, and how to serve both
• Why storytelling changes how a drink is experienced and valued
• Fixing churn before scaling acquisition, by plugging the leaky bucket
• Removing friction like the call-to-cancel requirement
• The unit economics of subscription: how many boxes to break even on CAC
• Why "subscription fatigue" is the biggest misconception to design around
• Demand planning against tiny distillery capacity and cash runway
• Where AI could help, starting with forecasting and reporting

💡 Key takeaways:

• Retention is the singular objective from the first hour a customer joins
• Plug churn before scaling acquisition, especially as CAC rises
• Anchor every decision to unit economics: know your break-even box count
• Sell the experience and the story — that is what earns a premium and loyalty

🥃 Connect with Huw Wright & The Curious Drinker:

LinkedIn: https://www.linkedin.com/in/huw-wright-99036625/

Website: https://www.thecuriousdrinker.com

About Luca

Luca is an AI operating system for e-commerce leaders — connecting marketing, finance, operations and data into a single intelligence layer that helps founders make faster, sharper decisions.

🔗 Connect with Luca here:

YouTube: https://www.youtube.com/@ask_luca

LinkedIn: https://www.linkedin.com/company/asklucaai/

Website: https://ask-luca.com/

🎙️ Listen to the E-commerce Leader Series

A podcast exploring how founders and operators are navigating the future of e-commerce with AI, automation, and new technologies.

Subscribe for conversations with founders, operators, and investors shaping the next generation of digital commerce.

In Episode 61 of the E-commerce Leader Series, Eric Bidinger sits down with Stephanie Crespin, Founder & CEO of Reflaunt, the technology company helping some of the world's leading fashion and luxury brands build resale directly into their own customer experience. Reflaunt's "resale-as-a-service" model turns secondhand from a competitive threat into a strategic growth channel — letting a brand's own customers resell past purchases for cash or store credit, while keeping the relationship, and the data, in the brand's hands.

Stephanie has been in re-commerce since 2014, when she built one of Southeast Asia's first secondhand luxury marketplaces, StyleTribute, which she sold in 2018. The insight that led to Reflaunt: managed-resale marketplaces were inefficient and capped by a glass ceiling, and the real breakthrough was connecting first-hand and secondhand into one journey — bringing resale upstream into the moment of purchase. She launched in 2019, straight into COVID, but with early backing from luxury incubators like LVMH and Fashion for Good, and a first flagship brand in Balenciaga.

The early resistance centred on three fears: cannibalising first-hand sales, brand dilution and stigma, and the risk of counterfeits and quality. What unlocked it was sustainability topping CEO agendas, resale's appeal to younger audiences, and — crucially — framing it as a retention and loyalty tool rather than discounted secondhand selling. Buying pre-loved has flipped from stigma to badge of honour worldwide, with the US now the biggest market.

This is where it gets clever. When customers know they can recapture residual value later, they convert sooner, trade up to more expensive pieces, and buy more often — resale acts almost like a built-in return policy. Reflaunt then retargets at the ideal moment, when the wardrobe is emptied and cash is freed up, offering cash or incentivised store credit that pulls the customer back and locks in share of wallet. Brands that offer it gain a real loyalty edge over those that don't.

Stephanie is clear that Reflaunt is a technology company first — a "spiderweb" integrating brands, warehouses, marketplaces, logistics, customs and payments, and managing rich per-SKU data she likens to a digital product passport. AI now powers much of that work: image recognition to build product listings, pricing recommendations, first-pass authentication, and dramatically faster marketplace integrations. Looking to 2030, she sees shopping moving away from single-brand storefronts toward multi-brand carts, resale value shown before you buy, and secondhand pricing increasingly setting the price of new — with AI accelerating both the transparency and the scale.

Whether you're building a brand, running a retail channel, or thinking about where circular commerce and AI intersect, this episode is full of sharp, forward-looking insight.

🎧 What you'll learn in this episode:

• How resale-as-a-service turns secondhand into a growth and loyalty channel
• Why connecting first-hand and secondhand beats standalone resale marketplaces
• How Reflaunt overcame brand fears of cannibalisation and dilution
• The way resale changes conversion, upsell and repeat purchase
• Retargeting customers at the perfect moment: empty wardrobe, freed-up cash
• Why Reflaunt is a tech and data company, not an e-commerce store
• How AI powers product listings, pricing, authentication and integrations
• What fashion retail could look like by 2030

💡 Key takeaways:

• Resale is a retention and loyalty tool, not just discounted secondhand selling
• Knowing they can recapture value makes customers convert, trade up and return
• The winning model keeps the customer and the data with the brand, not a third party
• AI is what finally makes single-SKU resale scalable

🛍️ Connect with Stephanie Crespin & Reflaunt:

LinkedIn: https://www.linkedin.com/in/stephaniecrespin/

Website: https://www.reflaunt.com

About Luca

Luca is an AI operating system for e-commerce leaders — connecting marketing, finance, operations and data into a single intelligence layer that helps founders make faster, sharper decisions.

🔗 Connect with Luca here:

YouTube: https://www.youtube.com/@ask_luca

LinkedIn: https://www.linkedin.com/company/asklucaai/

Website: https://ask-luca.com/

🎙️ Listen to the E-commerce Leader Series

A podcast exploring how founders and operators are navigating the future of e-commerce with AI, automation, and new technologies.

Subscribe for conversations with founders, operators, and investors shaping the next generation of digital commerce.