How Aachho automated 60,000 tickets a month and turned support into revenue

India's leading handcrafted ethnic wear house, rooted in Jaipur's block-print and embroidery traditions. One AI agent answers across 10+ channels, replies to Instagram comments like a human, and tracks every order through manufacturing, all in Aachho's voice.

60,000

tickets a month across 10+ channels

28,000

resolved by AI in month one

₹1.69 Cr

in monthly AI revenue

The brand

Aachho is one of India's leading handcrafted ethnic wear labels, rooted in Jaipur's hand block print and embroidery traditions: sarees, anarkalis, lehenga sets, sharara sets, and festive wear, each piece passing through artisans before it ships. Co-founders Rimjhim Hada and Anurag Singh Khangarot built it into a brand more than a million people follow on Instagram, selling through its own site, its app, and every major fashion marketplace in the country.

The challenge

Aachho came to Sagepilot already drowning. The volume was brutal: 60,000 tickets a month across 10+ surfaces, growing faster than any human team could clear. Instagram was the worst of it: a million-plus followers and a comment section that floods within minutes of every launch, where the only automation available fired a keyword reply like 'comment SAREE for the link.' And because every piece is genuinely handcrafted, customers kept asking what no canned reply could answer, what stage is my order in right now, while the answer sat locked inside Aachho's production system.

Why Sagepilot

Sagepilot replaced the patchwork with one AI agent, live everywhere Aachho's customers already were: WhatsApp, Instagram DMs and comments, web chat, email, and every marketplace, all at once. No keyword matching and no scripted triggers, it reads what a customer actually wrote and replies the way a person would, in Aachho's voice. And because it is wired directly into Aachho's production system, it knows whether a piece is in embroidery or through final QC, and tells the customer before they even ask.

The results

In the first month, close to 28,000 of Aachho's 60,000 monthly tickets were resolved end to end, nearly half the volume, while the same agent worked down a backlog that predated it. Instagram comments became a fully automated channel that still sounds like Aachho, and manufacturing updates began reaching customers the moment production moved, killing 'where is my order' tickets at the source. The agent also became an operations layer of its own, logging roughly 1,000 tickets a day into a shared sheet for logistics, accounts, and product development. None of it has faded: AI resolution has only climbed since, from 48% in the first month to 62% today, and the agent now drives around ₹1.69 Cr in monthly revenue across chat, journeys, and campaigns.

Support · Backlog

Buried in tickets, live in days

Aachho did not onboard into a clean inbox. It onboarded into a backlog already overwhelming the team, and the agent went live across WhatsApp, web chat, Instagram, and email at once, trained on Aachho's catalog, sizing, and policies, clearing the pile from day one.

Order 3 weeks ho gaya, koi reply nahi mil raha 😡 Refund chahiye agar update nahi mila toh

So sorry for the wait! Checking right now: your order is in final stitching and ships in 2 days. I’ve flagged it to logistics for priority dispatch.

Order stage pulled live, dispatch prioritized

Backlog ticket closed end to end, no human

Coverage · Omnichannel

Every channel, one inbox

WhatsApp, Instagram, web chat, email, and every marketplace collapsed into a single queue from week one. A customer can start on one channel and finish on another without ever repeating themselves.

Sizing, fabric, and fit consults on chat
Instagram DMs and Story replies
Email and marketplace queries, one queue

28,000 tickets resolved in the first month

Social · Instagram comments

The comments nobody else could touch

Most comment tools fire a fixed reply the second a keyword appears. With 1M+ followers and a section that floods within minutes of every reel, the agent reads what each person actually asked and answers in public, in Aachho's voice.

Comments · festive lehenga reellive

Meera Lehenga Set

aachho · Festive reel

riya.weds2026 this is SO pretty 😍 what’s the price and is it there in green?

aachhoThank you so much! 💚 This is the Meera Lehenga Set, link in bio. Green is in M and L, DM us and we’ll sort you out!

Matched to the comment, not a keyword, in Aachho’s voice

Personalized in public, not a keyword reply

Post-purchase · Manufacturing

The update arrives before the question

Sagepilot plugs straight into Aachho's production tracking, so the agent always knows whether a piece is in sampling, hand block, embroidery, stitching, or final QC, and shares it the moment it is useful, not the moment a customer demands it.

Any update on my anarkali set, order #4821?

It just moved from embroidery into final QC today. Usually 2 to 3 days to dispatch, and I’ll message you the moment it ships.

Order #4821· Anarkali setIn production

Sampling
Hand block print
Embroidery
Stitching
Final QCtoday
Dispatch

Pulled live from Aachho’s production system

Operations · Insights

Not just an inbox, an operations engine

Every ticket that touches logistics, accounts, or product development is logged automatically, roughly 1,000 a day, into a shared sheet those teams work from. Rolled up, the same data shows leadership which issues are rising and where the next fix needs to go.

Auto-logged to ops~1,000 / day

TicketIssueRouted to

#4933Delayed embroideryProduct Development

#4856Refund pending 9 daysAccounts

#4901Wrong item deliveredLogistics

~1,000 tickets a day, routed to the right team

Onboarding

Going live

Day one · Signed on

Aachho came aboard with a support operation already overwhelmed across 10+ channels.

Week 1 · Live everywhere at once

One agent went live across WhatsApp, Instagram, web chat, email, and every marketplace, with no staggered rollout.

First month · Backlog cleared

Close to 28,000 of 60,000 tickets resolved end to end, Instagram comments automated, manufacturing updates live, and ~1,000 tickets a day logged to ops.