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peer-to-peer foster networkWe benchmarked three options for pet fostering — traditional pet-store boarding, generic C2C marketplaces, and an AI-driven matching platform — then built an end-to-end pipeline covering “identity verification → smart matching → trust scoring → service loop → community retention”. Hosts onboard with zero friction and pet owners pick a foster family the way they pick a B&B.
Our client runs an early-stage pet services platform. Demand for fostering spikes around holidays and business trips, but supply is badly mismatched — pet stores are expensive, far away, and crate-only. Meanwhile, plenty of caring people with space and free time want to host, but have no channel.Both sides were flying blind.
¥80–200 per day, doubled on holidays. Pets get walked once a day and live in a cage; owners see a couple of photos in a WeChat group. One client came back to find their golden retriever had broken nails from clawing at the crate in distress.
Retirees at home all day, freelancers working from home, multi-pet households — they want to host but lack a channel, don't know how to price, and can't build trust on their own. A retired teacher with 10 years of dog experience posted to her social feed and got no replies for three months.
On generic marketplaces and forums, you get a few photos and a paragraph of text. No reviews, no recourse. One owner picked a “seems trustworthy” host and came back to a cat with stress-induced FIP and a ¥5,000 vet bill. The host blocked them.
Generic marketplaces handle listings and payment, then walk away. Feeding, walks, health, emergencies — nobody follows up. Owners wait anxiously for updates; hosts get worn out answering “How is the dog? Any photos?” all day.
“Potato” is a real National Day fostering order from the client's platform (anonymized). The full journey, from posting the request to the post-stay review, is shown on a single screen — so you can see exactly what the platform does.
We didn't open with an AI pitch. We laid out the options the client could actually pursue and compared them on one screen. The conclusion was clear: pet-store boarding centralizes supply, generic C2C platforms broker the match and disappear, and only an AI-matched, platform-closed-loop approach solves all four problems at once: open supply, verifiable trust, controlled service, and dispute coverage.
This isn't just a transaction platform — it's an engineered AI pipeline covering identity verification, smart matching, trust scoring, the service loop, and community retention. Every step ships with concrete, measurable sub-modules.
Real-name + face liveness + environment video + pet-care questionnaire. AI auto-checks pet supplies and living conditions in the video. Review decision in under 48 hours.
Vector embeddings for pet and host profiles, combined with a weighted model over distance, price, breed experience, and household structure. 8 candidates in 1.2 seconds.
Turn vague “trustworthiness” into four computable scores: identity, environment, reviews, insurance. Auto-updated after every order.
AI generates a pet-specific care checklist → 4 structured daily logs (feeding / walks / rest / waste) → anomaly alerts → one-click insurance claim.
Neighborhood circles + breed topics + referral cashback turn one-off bookings into long-term relationships. Repeat-purchase rate over 60%; 38% of new customers come from referrals.
Below are the key live screens: owner mini program, host profile, AI care checklist, daily service logs, and the operations dashboard. Warm Morandi palette with an engineering-grade interaction tempo.
Vague “trustworthiness” split into four computable scores, auto-updated after every order.
AI captures pet-care know-how into a structured checklist and ships it to the host in one tap.
4 structured logs and anomaly alerts give owners Apple-Health-grade peace of mind.
In 8 months post-launch, the platform grew from zero to 18,000 monthly active orders, a 62% repeat-purchase rate, and a 0.7% dispute rate. The original plan was a 6-month build; we shipped 2 weeks early.
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