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Swiggy Uses 350+ Features and Multi-Task MLP to Predict Customer

Swiggy developed an in house predicted lifetime value model using more than 350 pre order features and a multi task MLP for Food and Instamart.

By Dillip Chowdary • Sep 03, 2026 • Source: InfoQ

Swiggy Uses 350+ Features and Multi-Task MLP to Predict Customer

What happened

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InfoQ Homepage News Swiggy Uses 350+ Features and Multi-Task MLP to Predict Customer Lifetime Value Architecture & Design Online InfoQ Architect Certification (Sept 14): The sociotechnical side of architecture. 0:00 0:00 Normal1.25x1.5x Like Reading list Swiggy has developed an in-house predicted lifetime value (pLTV) model to estimate the long-term value of new customers across its food delivery and Instamart quick commerce businesses.

How it works

Swiggy Uses 350+ Features and Multi-Task MLP to Predict Customer
Illustration · Pexels

The model is designed to generate a useful signal before a customer's first order, allowing Swiggy to use predicted value in advertising bid optimization rather than relying on short-term conversion metrics. Swiggy pLTV model architecture (Source: Swiggy Blog Post) The prediction problem is complicated by sparse early signals and a highly skewed target distribution.

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Why it matters

Swiggy notes that a large share of new users place no orders during their first 30 days, while a relatively small group generates substantially higher lifetime value. See the full write-up from InfoQ via the source link for quotes and complete context.

Who is affected

Read the original coverage at InfoQ via the source link above for the complete details and primary quotes.

What to watch next

Cross-check release notes and official docs before changing production systems based on early reporting.

Developer Action Items

  • Diff the official changelog for Swiggy Uses Features Multi-Task before you bump — APIs, defaults, and removed flags only.
  • Install through the vendor's documented channel in staging; keep a one-command rollback and time-box the canary.
  • Grep your repo for old flag names, lockfile pins, and plugin versions that the notes mark as breaking.
  • Prefer the first patch cut over the day-zero tag unless you have a reason to be on the leading edge.
  • If InfoQ did not name a region, plan, or SKU, screenshot the official availability line before you promise it to users.
Dillip Chowdary

Author

Dillip Chowdary

Writes Tech Bytes coverage of AI, engineering, and the tools that actually ship. Editor of Tech Pulse Daily.

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