eCommerce AI Chatbot in San Francisco, USA

We built an AI Wellness Advisor over 10 weeks — handling personalised nutrition guidance, subscription optimisation, and ingredient education within FDA and CCPA compliance. (1) Personalised stack intelligence: dynamic wellness profile — AI maintaining an evolving understanding of each customer's health goals, lifestyle, and supplement needs through natural conversation rather than rigid questionnaires. "I just started a new job and I'm super stressed — plus I'm not sleeping well" triggering AI to assess current stack and recommend adaptogen additions (ashwagandha), magnesium glycinate for sleep, and B-complex for stress — all with timing and dosage guidance. Life event adaptation: AI recognising major life events and proactively suggesting stack adjustments — pregnancy, menopause, training programme changes, seasonal transitions, travel, and illness recovery. Each with FDA-compliant structure/function language.

Stack optimisation: AI analysing current subscription stack for timing optimisation, interaction management, and potential gaps — "I notice you're taking iron and calcium together — I'd suggest separating these by 2 hours for better absorption. Want me to send you an updated timing schedule?" Goal tracking: gentle check-ins aligned with supplement timeline expectations — "You've been taking our sleep stack for 4 weeks now. Most customers notice improved sleep quality around weeks 3-5. How has your sleep been?" providing reassurance with realistic timelines. (2) Intelligent retention: churn prediction — AI identifying churn signals (reduced engagement, skip frequency, support complaints) and intervening with value rather than discounts. "Not sure it's working" intervention: educational conversation about supplement timelines, biomarker expectations, and lifestyle factors affecting efficacy — "Magnesium takes 4-6 weeks for consistent sleep improvement. Have you been taking it with dinner as recommended?

Taking it on an empty stomach reduces absorption by 40%." "My needs changed" intervention: proactive stack adjustment conversation rather than letting customers churn — "I see you mentioned starting keto — your current B-complex is great for this, but you might want to add electrolytes and potentially adjust your omega-3 timing. Want me to update your subscription?" "Too expensive" intervention: value articulation — "Your current stack of 5 products would cost $127/month bought individually at retail. Your subscription price is $89/month — plus you're getting personalised timing guidance and ongoing adjustments that a supplement store can't provide." Win-back: re-engaging churned customers with personalised outreach — "Hey! Last time we talked you were training for the SF marathon. How did it go? We have a new recovery stack that marathon runners are loving." (3) Ingredient education engine: science-based education — AI answering ingredient questions with PubMed-referenced, FDA-compliant information.

Not making health claims but providing structure/function education: "Magnesium glycinate is bound to glycine, an amino acid that itself has calming properties. Research suggests this form crosses the blood-brain barrier more effectively than magnesium oxide, which is why many people choose it for sleep and relaxation support." Complexity navigation: when customers ask sophisticated questions, AI matching their knowledge level — detecting whether someone is a biohacker wanting mechanism-of-action detail or a wellness beginner wanting simple guidance. Misinformation handling: when customers cite TikTok or Instagram wellness trends, AI providing balanced perspective — "That's an interesting trend! The research on [ingredient] is actually mixed — here's what the science shows..." without being dismissive or condescending. Interaction awareness: every recommendation including relevant interaction information — "If you're taking blood pressure medication, I'd recommend checking with your healthcare provider before adding CoQ10, as it can interact with certain BP medications.

" (4) Conversational commerce: stack builder: customers building and modifying supplement stacks through conversation — "I want something for energy, sleep, and joint support" generating a personalised 3-5 product recommendation with pricing, timing schedule, and subscription options. Subscription management: all subscription actions through natural conversation — pause, skip, swap products, change frequency, update shipping — "Can you skip my next delivery? I'm traveling for two weeks" handled instantly without navigating account settings. Reorder and add-on: frictionless reorder and complementary product discovery — "My protein powder is almost out" triggering reorder with option to try new flavour or complementary product. Gift commerce: supplement gifting for Bay Area's wellness-obsessed culture — AI helping select appropriate gifts based on recipient description: "My mom is 65, she's active but has knee issues" generating a joint support and active aging gift recommendation.

(5) CCPA/CPRA compliance: sensitive data handling — wellness profile data classified as "sensitive personal information" under CPRA with enhanced consent, purpose limitation, and security. Right to know: customers can ask "what wellness data do you have about me?" and receive complete profile. Right to delete: "delete my health profile" processed within 30 days per CCPA requirement. Opt-out of sale/sharing: wellness data never sold or shared with third parties — communicated proactively. Data minimisation: AI asking only for information that genuinely improves recommendations — not collecting data "just in case." FDA compliance: all AI communications reviewed against FDA structure/function claim guidelines — AI never diagnosing, treating, or making disease claims. Disclaimers integrated naturally rather than as legal-sounding footnotes.