AIAI Lab · AI products & automation
Show each customer what they're most likely to want.
Recommendation and personalisation systems that raise engagement, order value and retention.
- Typical time
- 4–8 weeks
- Price
- AI audit from ₹1.5 lakh
Who it's for
- 01E-commerce and D2C
- 02Content and media apps
- 03EdTech platforms
Why it matters
Every customer is different, but most products show everyone the same thing. Recommendations learn what each person likes and show the most relevant products, content or actions, which usually lifts sales and time spent.
What you get
Everything you'll hold at the end.
- 01
Data review
What signals you have.
- A few thousand active users is usually enough to start.
- 02
Recommendation engine
Products, content or next actions.
- Learns what each person likes.
- 03
Personalised home and feeds
Different for each user.
- The most relevant products, content or actions.
- 04
Personalised messages
Emails and notifications that fit.
- Consented data only, in line with India's DPDP Act.
- 05
A/B testing
Prove the lift.
- Tested against the current experience.
- 06
Performance dashboard
Clicks, orders and revenue from recommendations.
- Only what wins gets rolled out.
A working demo every week.
You see progress, not status reports. A link you can tap, every week.
How it runs
Clear steps. No surprises.
Typical time: 4–8 weeks. You get the exact dates in writing before we start.
- 01
Analyse
Data and goals.
- 02
Build
Model and placements.
- 03
Test
Against current experience.
- 04
Scale
Roll out what wins.
Our promises, on this service too
- Scope signed in writing. A one-page scope you approve before work starts.
- One accountable lead. Their name and number on day one, and they answer.
- A working demo every week. A link you can tap, every week.
- QA inside every sprint. A test report with every demo.
- Dates published up front. A timeline you can share with your board.
Price & time
AI audit from
₹1.5 lakh
Builds quoted after the audit.
- Typical time
- 4–8 weeks
- Next step
- Fixed quote in writing after the first call.
FAQ
Questions founders ask before they start
Something else? Ask us directly. A real person replies within one working day.
Do we need lots of users?
A few thousand active users is usually enough to start.
Will it respect privacy?
Yes, using only consented data, in line with India's DPDP Act.
How do we know it works?
Every recommendation system is A/B tested against the current experience.
Who owns the work?
You do. Every file, design and line of code is yours on payment.
Can you sign an NDA?
Yes, before the first call if you like.
How do we start?
Book a call. Within one working day you'll talk to a real person, and after the call you'll get a fixed quote in writing.
Recommendations & personalisation.
Done properly.
Tell us what you need. In one call you'll know what it takes, how long, and what it costs.
- 4–8 weeks
- typical time
- In writing
- scope and dates, before we start
- 100%
- code, files and accounts are yours