Dr. Ortho finds out its oil customers came for the devices
Absorbing order status so the catalog can do its job
- Client
- Dr. Ortho
- Platform
- Shopify
- Market
- India
- Window
- 1 Jul to 7 Sep 2026

What Dr. Ortho has live
The main surface. Handles both the device selection chat and the order-status queue behind it.
A secondary channel for social discovery of the orthopaedic range.
Multi-step follow-up on order status, delivery confirmation and returns eligibility, the three questions that stall a first-time buyer.
Product-aware prompts across a very large browsing audience that rarely asks anything.
Dr. Ortho makes ayurvedic pain-relief oils, balms and sprays alongside an orthopaedic range of knee supports, posture correctors, acupressure slippers, cervical pillows and mattresses. A brand of Divisa Herbals, manufactured in Kala-Amb, Himachal Pradesh, it states more than a million consumers and was named one of Asia's most promising brands in joint care. Sold from drorthooil.com and across marketplaces, Dr. Ortho runs its storefront and Instagram chats on YourLio AI.
Challenge: a large audience, a small chat, and a queue in the way
Dr. Ortho draws one of the largest browsing audiences of any brand documented here and starts a chat with only 2.52% of it. Most visitors arrive already knowing they want the oil, buy or leave, and never ask anything.
The chats that do happen are dominated by a queue. The single most repeated opening in the account is "I want to track my order." Order tracking, order updates, returns and order enquiry together ran to 969 chats across the window. The recorded theme is unambiguous: order status and payment confirmation are the biggest friction points for first-time purchasers.
The recorded objections show what that friction costs. A shopper who paid a small prepaid amount and then could not get delivery confirmation described increasing anxiety and a stalled resolution. Another could not tell from the product images whether shoes were sold as a single unit or a pair. A third questioned whether the footwear was waterproof and got no clear answer.
Underneath the queue is a catalog half the brand's audience does not know exists (knee supports, posture correctors, orthopaedic footwear, cervical pillows) that need real explanation before anyone buys them.
- “I want to track my order.”
- “Which product is best for knee pain?”
- “Can I wear these all day?”
- Delivery confirmation gaps after a prepaid payment, increasing anxiety and stalling resolution
- Product image ambiguity, whether footwear is sold as a single unit or a pair
- Waterproof expectations for shoes that the page did not answer
Solution: clear the queue, then sell the half nobody searches for
The Website Agent was trained on both halves of the catalog and on the order lifecycle, dispatch status, delivery confirmation, returns eligibility, and the payment states that were generating the most anxiety.
Automation carries the multi-step part. An order-status question is rarely one exchange; it is a confirmation, then a tracking update, then sometimes a returns question. Handling that as a continuous thread rather than three disconnected tickets is what took the resolution rate to 82.29% on a support-heavy mix.
Deflection is deliberately not maximised here. 17.71% of chats reached a human, which on a mix containing 242 returns chats and a stream of delivery-confirmation anxiety is a resolution policy rather than a failure.
Instagram AI covers social discovery of the device range, which is where the second and more interesting finding came from.
Strategy: how Dr. Ortho runs it now
The support deployment worked. The merchandising discovery underneath it is arguably worth more.
Absorb the order-status queue first. "I want to track my order" was the most common opening in the account, and order-related intents ran to 969 chats. Until that queue is handled automatically, nobody on the team is answering the question that actually sells a posture corrector.
Read the chat data as merchandising research. Across all 69 days of the window, the five most-discussed products were premium acupressure slippers, orthopaedic women's shoes, the posture corrector, soft slippers and standard acupressure slippers. Not one oil. The traffic comes for the oil; the chats are about the devices. That argues for surfacing the orthopaedic range far earlier in the site's navigation.
Treat 2.52% engagement as headroom, not failure. Dr. Ortho has the largest untapped conversational surface of the fifteen brands here here. The audience is already on the site. Nearly 17% of the chats that do happen end in an order, on a catalog where the device range is many times the price of the entry oil.
Chat intent mix, 1 Jul to 7 Sep 2026
| Intent | Chats | Type |
|---|---|---|
| Product Info | over 1,500 | Pre-sale, device suitability |
| Product Discovery | over 1,000 | Pre-sale, pain area to product |
| Product Browsing | 753 | Pre-sale |
| Order Tracking | 285 | Post-purchase |
| Order update | 277 | Post-purchase |
| Return and Refunds | 242 | Post-purchase |
| Order Enquiry | 165 | Post-purchase |
| Checkout Enquiry | 158 | Pre-sale |
Results, 1 Jul to 7 Sep 2026
| Metric | Result | Note |
|---|---|---|
| Resolved without human handoff | 82.29% | on a support-heavy mix |
| Order-related chats absorbed | 969 | 30.3% of all volume |
| Ended in an order | 16.99% | 1 Jul to 7 Sep 2026 |
| Chats referencing a product | 49.7% | over 1,500 |
| Chat engagement | 2.52% of sessions | largest headroom of the fifteen |
| Device share of top 5 discussed products | 5 of 5 | all 69 days of the window |
Revenue amounts, order counts and average order values are withheld at the brand's discretion; only rates and ratios are published.
Is this replicable for a brand like yours?
The conditions this deployment ran under, so you can judge how close your own store is.
| Dimension | Dr. Ortho |
|---|---|
| Catalog | Ayurvedic topicals + orthopaedic devices |
| Channels live | Website Agent, Instagram AI |
| Traffic shape | Very large browsing audience, low question rate |
| Chat mix | 30% order-related, 70% pre-sale |
| Public price band | ₹248 to ₹8,297 (listed on drorthooil.com) |
| Device split | Overwhelmingly mobile |
| Market | India |
Steal this playbook
- 01
Absorb the order-status queue before anything else
Until it is automatic, nobody is answering the question that sells the considered product.
- 02
Read your chat data as merchandising research
Dr. Ortho's customers said the same thing every day for 69 days, and the signal was free.
- 03
Surface what people ask about
If five of five top-discussed products are devices, the device range belongs above the fold.
- 04
A low engagement rate on high traffic is headroom
The audience is already there.
- 05
Fix the images before you fix the copy
"Is this a single shoe or a pair?" is a photograph problem that became a chat problem.
Questions about this deployment
Dr. Ortho's agent handled 969 order-related chats (order tracking, order updates, returns and order enquiry) across 69 days, resolving 82.29% of all chats with no human handoff.
More brands running YourLio
All case studiesPublished 2026-09-08 · Last updated 2026-09-08 · Window 1 July 2026 to 7 September 2026 (69 days), measured from YourLio daily snapshots. Revenue amounts, order counts and average order values are not published.


