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AnyPet — Pet Care Advisor Demo

Vertical: Pet Retail ~10 min 5 acts

⚠️ Demo Limitations to Mention

1
Set the Stage
~1 min
"Pet retail is highly emotional — 70% of pet parents say their pet is family. But matching the right food to a 3-month-old Lab puppy versus a 7-year-old senior cat with kidney issues is overwhelming. AnyPet's AI advisor cuts through that."
Open the homepage. Point out the hero "Healthier Pets. Happier Homes." and the persona row.
Customer trust + lower return rates: when food matches life-stage and breed, customers don't return bags. Subscription stickiness goes up.
2
New Customer — Tyler with His Puppy
~3 min
Click "🆕 New Customer". Type "I just got a puppy".
"Notice — the advisor doesn't dump 100 puppy products. It asks ONE question at a time: species, then life stage, then top concern."
Walk through: "Dog" → "Puppy under 1 year" → "Daily nutrition". When asked breed, say "Labrador". The advisor surfaces Royal Canin Puppy Large Breed Formula, Zuke's Mini Naturals training treats, and the KONG Classic.
"And here's the key — the catalog is constrained. The AI cannot hallucinate products. Everything it recommends is in real inventory with real specs."
No mismatched recommendations means no returns, no negative reviews, no churn. The bot upsells correctly: senior dogs get joint chews, puppies get training treats — never the wrong way.
3
Returning Customer — Marcus with Cooper
~2 min
Click the chat trash icon to clear, then click the "Marcus 🦮" persona pill.
"Marcus has a 2-year-old Golden. The advisor knows his last order — Wellness CORE Grain-Free Salmon, KONG Classic, Joint Support Soft Chews. It greets him by name and asks what brought him in today."
Type "Cooper needs a bath, where can I bring him?"
"This is where omnichannel kicks in — the AI offers to book a grooming appointment at the nearest store. Real CRM data + service inventory + AI-driven booking, all conversational."
Service appointment booking is high-margin and drives repeat visits. AI surfaces the option exactly when the customer's intent matches — no friction, no phone calls.
4
Visual Search — Identify That Brand
~2 min
Open chat. Click the 📷 icon and upload a photo of any pet food bag (e.g., a Wellness CORE bag from Google Images).
"Customers often have a picture of what they're running low on. The advisor recognizes the bag — it knows it's Wellness CORE Grain-Free — and shows the matching SKU plus alternatives."
Visual search collapses 5 minutes of searching into 5 seconds. Image upload reduces cart abandonment for "I forgot the brand" moments.
5
The Wrap
~2 min
"Three things to walk away with: One — the AI is constrained to your real catalog, so recommendations are always accurate. Two — life-stage and breed matching reduces returns and drives subscription retention. Three — the same conversational flow surfaces grooming, vet visits, and other services without forcing the customer into a different funnel."
Open the brand switcher to show this is the same code base running fashion, electronics, beauty, and pet — proving the architecture is reusable across verticals.
Build once, deploy across categories. Every vertical you launch reuses the AI plumbing — only the catalog and persona change.