East India

Recommendation & Personalisation across Bihar

Recommendations that lift the metric you care about, measured by experiment, not by offline accuracy. Covering every district and PIN code in Bihar.

Districts
38
PIN codes
862
Cities mapped
21

Recommendation & Personalisation in Bihar

Diversity has to be designed in. A recommender optimised purely for click-through converges on a narrow loop that bores users within a fortnight.

Bihar runs on agriculture, food processing, education and retail and distribution, distribution networks and public service delivery across a very large rural base. Where recommendation & personalisation earns its budget here usually follows directly from that mix.

Integration comes before intelligence. A model that cannot reach your systems of record is a demo with good manners. Six weeks to something running in production, not six quarters to a strategy document.

नमस्ते , Namaste. We work in Hindi and English across Bihar.

Bihar coverage

State / UT
Bihar
Region
East India
Districts covered
38
PIN codes covered
862
Cities mapped
21
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

Questions

Do you cover all of Bihar?

Yes, all 38 districts and 862 PIN codes. Delivery is remote-first, so coverage is genuinely statewide rather than limited to the cities we happen to have offices in.

Which Bihar sectors do you work with most?

Across Bihar the economy leans towards agriculture, food processing, education, retail and distribution. Distribution networks and public service delivery across a very large rural base.

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 Bihar

Covering all 38 districts. Tell us what you are trying to change.

Or email bd@dtrasglobal.com · call +91 74118 77878