Industries
Purpose-built AI systems for the industries we serve.
Not sure where to start?
Talk to our teamAI-native search that understands natural language and delivers direct answers
Multi-tenant AI CRM with a per-industry module architecture — each new industry gets a tailored feature set on shared infrastructure
AI orchestration layer coordinating agent workflows across CRMs, email, and marketing tools
Try Zunkiree Search Free
See how AI search delivers direct answers instead of links. Transform your customer experience.
Start free trialReady to build with AI?
Schedule a callState of AI in Nepal 2026
The definitive guide to AI adoption across Nepali industries. Free download.
Download reportReady to build with AI?
Schedule a callHow We Built Zenly, an AI Booking Engine for Complex Availability
Why one calendar isn't enough, and how AI resolves scheduling conflicts automatically
Automatic conflict resolution with waitlist rebooking
Multi-provider, multi-resource availability modeling
AI-timed reminders built to cut no-shows
Syncs with Google, Outlook & Apple Calendar
Why we built Zenly
A plain calendar can tell you when one person is free. It can't tell you when a provider, a room, and a piece of equipment are all free at the same time—and that's the scheduling problem most service businesses actually have. We built Zenly to model availability as it really works, not as a single grid of open and busy slots.
The problem
Real-world availability is never just one calendar—providers, rooms, and equipment each carry their own constraints, and double-bookings were being resolved by hand, back and forth, one message at a time. Without a timely nudge, booked slots quietly went empty.
Where manual scheduling breaks down:
- • Providers, locations, and equipment each carry constraints a single calendar can't represent
- • Double-bookings get resolved by back-and-forth messages instead of automatically
- • Reminders that go out too early or too late don't stop no-shows
- • Every custom scheduling rule (buffers, combos, specialties) has to be applied by hand
How we built it
We modeled availability as a constraint problem instead of a single calendar: providers, locations, equipment, and custom rules all feed into one engine that computes real openings and resolves conflicts by proposing alternatives or rebooking automatically with approval. On top of that we layered AI-timed, channel-aware reminders tuned to when a given customer is actually likely to respond.
Availability as a constraint problem
Providers, locations, equipment, and custom rules all feed one engine that computes real openings, instead of checking calendars one at a time.
Automatic conflict resolution
When two bookings collide, Zenly proposes alternatives, manages the waitlist, and can rebook automatically once the customer approves—no back-and-forth needed.
Reminders timed to behavior, not a fixed schedule
Reminders go out via SMS, email, or voice at the moment a given customer is actually likely to respond, and make rescheduling as easy as confirming.
Connects to calendars already in use
Zenly syncs with Google Calendar, Outlook, and Apple Calendar, and embeds anywhere through a JavaScript SDK.
What shipped
Key engineering decisions
Model constraints, not a calendar: Treating availability as a constraint-satisfaction problem is what lets Zenly handle multi-resource bookings a simple calendar can't.
Resolve conflicts, don't just flag them: Surfacing a double-booking isn't enough—Zenly proposes the fix and can apply it with approval.
Reminders should adapt, not just fire on schedule: A reminder timed to when someone actually responds does more than one sent at a fixed hour.