PROOF

Case studies

Every project is judged on a real business result. Here's a sample of what that looks like in practice.

RetailRegional grocery distributor (Rajasthan, India)

A 12-month AI roadmap that turned guesswork into a ranked plan

A grocery distributor supplying hundreds of kirana stores across Rajasthan knew AI could help but couldn't say where to start. We mapped how the business actually runs, scored where AI would pay off, and shipped the top win: demand forecasting that cut stockouts.

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3 wksKickoff to plan
11Initiatives ranked by ROI
-30%Stockouts (first win)
9 moPayback on phase one
Service BusinessesChartered accountancy firm (Jaipur, India)

20+ hours a week back per accountant — without hiring anyone

Bank statements, receipts, and timesheets all ran on manual data entry across disconnected tools. We automated the predictable steps and added AI agents for the judgment work, so the firm bills more of the hours it actually works — especially through filing season.

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20+ hrsSaved per accountant / week
3xFaster document processing
-90%Lost billable time
5 wksTime to launch
Service BusinessesBarbershop chain (Jaipur, India)

A WhatsApp agent that books appointments and cut no-shows 35%

Bookings ran on phone calls and walk-ins, so calls during a haircut went unanswered and empty chairs piled up at peak hours. A WhatsApp assistant now books, reschedules, and reminds customers around the clock — without anyone at the front desk.

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24/7Bookings on WhatsApp
-35%No-shows
60%Bookings self-served
<30sReply, any hour
D2CD2C fashion brand (India)

A recommendation engine that lifted average order value 28%

With a deep catalog, shoppers found one item and left. A recommendation engine trained on the brand's own sales and browsing data now surfaces the right products across site, app, and email — lifting basket size and repeat purchases.

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+28%Average order value
+22%Repeat purchases
35%Revenue from recommendations
5 wksTime to launch
SaaSB2B CRM software company

A custom RAG copilot built into their CRM — 40% more daily active users

Their CRM held everything customers needed, but the answers were buried across accounts, notes, and tickets. We built a retrieval copilot into their product that answers in plain language from each customer's own data — and they own it outright.

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+40%Daily active users
-50%Support tickets
<2sAnswer, with sources
100%On their own stack

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