~/talk

Beating the averages at JustDial with Julia

Talkat JuliaCon 2015 · 2015-06-24..06-27· [machine-learning, python]
links:none on file
slides:none on file

JustDial rewrites its pricing, budgeting and search pipelines in Julia, replacing a PHP plus C module stack with a single pricing engine that trains overnight and ships models for live negotiation by 5am. The pipeline ingests roughly 3 TB/day of city-level signals across about 46,000 locations, turns velocity and historical features into per-category price estimates, and delivers large compute and latency savings (roughly a 60% reduction in batch compute) enabling daily automated pricing decisions.

AI-written summary · about

  1. 0:00Beating the averages at Justdial with Julia
  2. 1:40Budgeting Match demand and supply 100,000 categories of products and services 1000s of localized markets Use velocities, historical values of demand and supply Compute price for every category in each geography Pricing packages add one more complexity - Platinum Diamond, Gold and Silver
  3. 7:58Rating Engine Solution with Julia, Apache Phoenix & Apache HBase Julia implementation in progress
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