North India
Recommendation & Personalisation across Haryana
Recommendations that lift the metric you care about, measured by experiment, not by offline accuracy. Covering every district and PIN code in Haryana.
- Districts
- 19
- PIN codes
- 314
- Cities mapped
- 19
Recommendation & Personalisation in Haryana
Cold start is where most recommendation systems disappoint, new users and new products are exactly the cases where a good recommendation matters most.
Haryana runs on automotive, IT and business services, agriculture, textiles and engineering goods, the Gurugram corporate belt alongside a working auto-manufacturing cluster, which puts back-office and shop-floor automation in the same state. Where recommendation & personalisation earns its budget here usually follows directly from that mix.
Every engagement opens with a measurement: the cycle time, the cost per transaction, or the error rate we are being asked to move. You own the code, the models where they are open-weight, and the documentation to run it without us.
नमस्ते , Namaste. We work in Hindi and English across Haryana.
Haryana coverage
- State / UT
- Haryana
- Region
- North India
- Districts covered
- 19
- PIN codes covered
- 314
- Cities mapped
- 19
- Working languages
- Hindi, English
What is included
- Event tracking design, since most projects start with inadequate data
- Baseline popularity model to beat
- Hybrid collaborative and content-based ranking
- Cold-start handling for new users and new items
- A/B testing framework with proper statistics
- Business-metric reporting, not just offline accuracy
Districts of Haryana
Every district has a coverage page listing its PIN codes.
Other capabilities across Haryana
Questions
Do you cover all of Haryana?
Yes, all 19 districts and 314 PIN codes. Delivery is remote-first, so coverage is genuinely statewide rather than limited to the cities we happen to have offices in.
Which Haryana sectors do you work with most?
Across Haryana the economy leans towards automotive, IT and business services, agriculture, textiles, engineering goods. The Gurugram corporate belt alongside a working auto-manufacturing cluster, which puts back-office and shop-floor automation in the same state.
How much data do we need?
Less than people assume to start. A content-based approach works from day one; collaborative filtering improves as interaction volume grows.
How do you handle new products?
Content-based features carry new items until interaction data accumulates, with deliberate exploration so new items get a fair chance to be seen.
How do we know it is working?
Controlled A/B tests measured on revenue or engagement, with proper statistical treatment rather than eyeballing a dashboard.
Recommendation & Personalisation in Haryana
Covering all 19 districts. Tell us what you are trying to change.
Or email bd@dtrasglobal.com · call +91 74118 77878