Connected Verticals

Five products.
One customer.

Kliovo Chat, Shop, Dine, Edu, and Care are not separate tools that happen to share a brand name. They share a single AI memory layer, a single WhatsApp inbox, and a single escalation queue — so every customer is known everywhere, from day one.

1
AI brain shared across all verticals
5
products in one inbox
200+
Roman Urdu normalizations, built in
3-tier
escalation: T+5, T+15, T+30 min

Architecture

How the products connect

All five verticals route conversations and data through ovo AI, then into Kliovo Chat. The customer sees one WhatsApp number. Your team sees one inbox. The AI sees the full customer history.

ovo AI
Memory · Roman Urdu · Escalation · Self-Learning
Kliovo Chat
Shared inbox · Agent workspace · Broadcasts · Analytics
WhatsApp
One number · Every customer · All five products

Shared by all verticals

What every product inherits from ovo AI.

Build on ovo AI and every vertical immediately benefits — no duplicate setup, no separate AI training per product, no siloed customer data. These six capabilities are active across all products from day one.

ovo AI Memory
Every customer interaction — across every vertical — feeds a single memory layer. When a Shop customer messages about a Dine reservation, the AI already knows their name, their last order, and how they communicate.
Customer memory stores names, preferences, order history, conversation context, and language preference. This data is scoped entirely to your account — it is never shared with or visible to any other business on the platform.
Roman Urdu Engine
"Kab ayega mera parcel?" and "Table book karni hai" are both understood natively. 200+ character normalizations are shared across all products — configured once, applied everywhere.
The Roman Urdu normalisation layer handles spelling variations, transliteration inconsistencies, and mixed-language sentences across all five products simultaneously. No per-product language configuration required.
Smart Escalation
One escalation queue. Whether the frustration comes from a missed delivery, a cancelled appointment, or a failed admission inquiry — the same 3-tier SLA (T+5 / T+15 / T+30 min) applies across all products.
Escalation routing is product-aware: a Shop escalation goes to the order team, a Care escalation goes to the clinical team. The SLA timer and audit trail are shared, so managers have a unified view of every pending human intervention.
Self-Learning Loop
An agent correction in Chat makes the AI smarter for Dine too. Training one product trains all products — the knowledge base is shared, not siloed. One click. Instant.
The shared learning model means that common questions — pricing, hours, cancellation policies — only need to be trained once. Product-specific knowledge (e.g., menu items, courier tracking) is stored in product-specific namespaces and never cross-contaminates.
Broadcast Segments
Build one customer segment that spans Shop orders, Dine visits, and Edu enrolments. Send one campaign. Track opens, clicks, and replies in one inbox.
Cross-product segments enable campaigns that are impossible with siloed tools. Example: "Customers who ordered from Shop in the last 30 days AND visited Dine in the last 60 days" — send them a combo loyalty offer on both their phone numbers.
Unified Analytics
One dashboard. Response rate, resolution rate, COD confirmation rate, booking rate, admission conversion rate — all your verticals in a single analytics view.
Analytics are segmented by product so managers can drill down, but the executive view shows the full picture: total conversations, AI resolution rate, escalation volume, and agent performance across every vertical in one report.

Each vertical

What each product contributes to the shared layer.

Each product sends data into the shared AI layer and pulls context from it. The relationship is bidirectional — which is why a customer who ordered from your shop is already known when they make a restaurant booking.

The shared inbox everything flows through

feeds data to
ShopDineEduCare

Every product routes conversations back into Kliovo Chat. Orders, appointments, lesson queries, prescription questions — agents see them all in one place with full customer history and AI context already visible. Kliovo Chat is the command centre for your entire customer operation.

  • Shared inbox: WhatsApp, Instagram, Facebook Messenger
  • AI escalation from any vertical arrives here with full context
  • Agent notes and tags sync across all product conversations
  • Broadcast segments pull from Shop, Dine, and Edu customer data
  • AI Copilot (Llama 3.3 70B) available to every agent across all products
  • Role-based access: agents see only their assigned threads

Order confirmed. Courier dispatched. Customer informed.

feeds data to
Chat

Shop triggers Chat flows automatically. COD confirmations, shipment updates, return requests — all handled by the same ovo AI that knows the customer's full order history from their very first message. No manual handoffs between systems.

  • COD confirmation sent via Chat AI within 60 seconds of order placement
  • 7 courier APIs feed real-time shipment status into Chat conversation threads
  • Order anomalies (invalid phone, COD=0) trigger immediate Chat alerts to agents
  • WooCommerce and Shopify sync surfaces product and inventory context in Chat
  • Return requests initiated in Chat are routed directly to the Shop returns queue
  • Customer order history visible to Chat agents before they reply

Table booked. Order taken. Review collected.

feeds data to
Chat

Dine connects the full restaurant customer journey into a single WhatsApp thread managed by ovo AI. Reservation confirmations, live menu browsing, order updates, and post-visit CSAT surveys — one thread per customer, no app required.

  • Reservation confirmation and reminders triggered automatically via Chat AI
  • Live menu displayed as WhatsApp interactive lists — no PDF, no app
  • Order-ready and delivery notifications auto-sent at correct stage
  • CSAT surveys sent 20 minutes after order completion via Chat
  • Repeat customer data from Chat used for personalised offers and loyalty
  • Multi-branch reservations managed from one Chat inbox

Enrolled. Reminded. Retained.

feeds data to
Chat

From first inquiry to graduation, Edu routes every student and parent touchpoint through Chat. ovo AI answers admission queries in Roman Urdu, schedules follow-up sequences, and surfaces at-risk students before they drop out.

  • Admission inquiry AI handles FAQs, fee structures, and interview scheduling
  • Multi-step drip sequences for fee reminders and exam date notifications
  • Attendance alerts and assignment deadlines sent to correct parent contacts
  • At-risk student segments exported to Chat for immediate manual follow-up
  • Student satisfaction surveys sent at end of each academic term
  • Roman Urdu native — parent queries answered in their natural language

Appointment booked. Prescription sent. Follow-up done.

feeds data to
Chat

Care closes the loop on every patient interaction via Chat. ovo AI triages inbound messages, books appointments, sends post-consultation instructions, and flags urgent cases to on-call clinical staff — with medical escalation rules built in.

  • Symptom-aware triage routes patients to the correct department automatically
  • Appointment booking with slot selection via WhatsApp interactive lists
  • Post-visit prescription and discharge care instructions auto-sent
  • Urgent escalation triggers immediate agent alert in Chat within 5 minutes
  • Chronic care follow-up and medication reminder sequences scheduled automatically
  • Patient history from Chat visible to clinical agents before consultation

End-to-end flows

See the connection in action.

These are not diagrams. They are the actual sequences that run when a customer sends one WhatsApp message — what happens in the background, in what order, and which product handles each step.

Trigger
New Shop order placed
A customer places a COD order on your Shopify store at 11:47pm.
1
Shop
Order received. Anomaly check runs: phone valid, COD amount correct, address complete.
2
Chat AI
COD confirmation WhatsApp sent within 60 seconds. "Aapka order #4821 receive hua — confirm karna chahenge?"
3
Customer
Replies "haan" at 11:51pm. Order confirmed.
4
Shop
Courier booking triggered — Leopards selected based on city and weight rules.
5
Chat AI
Tracking notifications sent at dispatch, in-transit, and out-for-delivery stages automatically.
Trigger
Restaurant diner books a table
A customer messages your restaurant WhatsApp number on a Saturday at 7pm.
1
Chat AI
Handles inquiry, shows available time slots as a WhatsApp interactive list.
2
Dine
Reservation created. Table held. Cover count updated on live floor map.
3
Chat AI
24-hour reminder sent Friday. 2-hour reminder sent Saturday afternoon.
4
Dine
Customer arrives. Menu sent as interactive list. Order taken via WhatsApp.
5
Chat AI
CSAT survey sent 20 minutes after order marked complete.
Trigger
Parent enquires about school admission
A parent sends "admission kb tk hogi?" on a school's WhatsApp number at 10am.
1
Chat AI
Answers in Roman Urdu — shares admission dates, fee structure, required documents.
2
Edu
Lead captured. Course interest and contact details stored.
3
Chat AI
Drip sequence starts — 3 follow-up messages over 5 days with interview booking link.
4
Edu
Enrollment form sent via WhatsApp. Submitted and logged.
5
Chat AI
Fee due date reminders and class schedule updates begin automatically.

Why it matters

What siloed tools cost you every day.

Most businesses use a different app for orders, bookings, admissions, and patient records. Their customers re-introduce themselves every time. Their agents have no context. Their AI is trained per tool and forgets everything the moment the customer switches touchpoints.

Without connected verticals
  • Customer asks about an order in one app, a booking in another — introduces themselves twice
  • Your Shop AI has no idea the same customer also dines at your restaurant
  • Agent opens a conversation with zero context — no order history, no previous complaints, no name
  • Missed COD confirmation because the order app and WhatsApp are not connected
  • Student who enquired three times is counted as a new lead each time
  • No-show patient costs Rs. 5,000 because reminder never went out — it was in a separate system
With Kliovo connected verticals
  • One WhatsApp number handles orders, bookings, admissions, and prescriptions — one relationship
  • AI knows the customer's full history across every product from the very first message
  • Agent sees full context — order status, last visit, previous complaints — before replying
  • COD confirmation triggered automatically within 60 seconds of order placement
  • Student re-engaged from the exact drop-off point with a personalised follow-up message
  • Patient reminder sent 24h and 1h before slot — no-show rate drops 60%

Where to start

Which vertical should you start with?

Most businesses start with Chat or Shop — Chat if you have a general customer support problem, Shop if COD confirmation is costing you RTO. Add Dine, Edu, or Care as you grow. The AI memory is shared from day one, so switching products requires no re-training.

Start with Chat

If: messages split across personal phones. No inbox visibility. Any industry.

Start with Shop

If: COD confirmation is manual. RTO rate above 15%. D2C or e-commerce.

Start with Dine

If: reservations are handled by phone calls. Reorders are manual. F&B.

Connect your first vertical.

Start with Chat or Shop. Add Dine, Edu, or Care as you grow. The AI memory is shared from day one — no extra setup, no re-training, no integration fees.