SupportPain relief, ayurvedic topicals and orthopaedic devices

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
Dr. Ortho runs YourLio AI across Website Agent, Instagram AI, Pain relief, ayurvedic topicals and orthopaedic devices
Dr. Ortho
82%
resolved without a human handoff
5 of 5
most-discussed products were devices, not the oil, on all 69 days
2.5%
of visitors engaged the agent, the largest untapped surface here

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.

01

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.

What shoppers asked
  • I want to track my order.
  • Which product is best for knee pain?
  • Can I wear these all day?
Where they got stuck
  • 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
02

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.

03

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

IntentChatsType
Product Infoover 1,500Pre-sale, device suitability
Product Discoveryover 1,000Pre-sale, pain area to product
Product Browsing753Pre-sale
Order Tracking285Post-purchase
Order update277Post-purchase
Return and Refunds242Post-purchase
Order Enquiry165Post-purchase
Checkout Enquiry158Pre-sale

Results, 1 Jul to 7 Sep 2026

MetricResultNote
Resolved without human handoff82.29%on a support-heavy mix
Order-related chats absorbed96930.3% of all volume
Ended in an order16.99%1 Jul to 7 Sep 2026
Chats referencing a product49.7%over 1,500
Chat engagement2.52% of sessionslargest headroom of the fifteen
Device share of top 5 discussed products5 of 5all 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.

DimensionDr. Ortho
CatalogAyurvedic topicals + orthopaedic devices
Channels liveWebsite Agent, Instagram AI
Traffic shapeVery large browsing audience, low question rate
Chat mix30% order-related, 70% pre-sale
Public price band₹248 to ₹8,297 (listed on drorthooil.com)
Device splitOverwhelmingly mobile
MarketIndia

Steal this playbook

  1. 01

    Absorb the order-status queue before anything else

    Until it is automatic, nobody is answering the question that sells the considered product.

  2. 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.

  3. 03

    Surface what people ask about

    If five of five top-discussed products are devices, the device range belongs above the fold.

  4. 04

    A low engagement rate on high traffic is headroom

    The audience is already there.

  5. 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.

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Published 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.