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

Handcrafted, and followed by a million

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.

Already drowning

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.'

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.

One agent, wired into the ERP

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.

The difference is how deep it goes. The agent is integrated directly with Aachho's production ERP, so it works from the same system of record the back office runs on: it knows whether a piece is in sampling, hand block print, embroidery, stitching, or through final QC, and tells the customer before they even ask.

That connection runs both ways. The agent doesn't just read the ERP, it does work in it: logging issues, updating records, and routing cases to logistics, accounts, and product development without a human copying anything between systems.

Nearly half the volume, in month one

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: roughly 1,000 tickets a day are logged, categorised, and routed to logistics, accounts, and product development, back-office work that used to be a human forwarding messages between teams.

• AI resolution climbed from 48% in the first month to 80% today
• Around ₹1.69 Cr in monthly revenue across chat, journeys, and campaigns
• ~1,000 back-office tasks a day logged and routed automatically