Skip to content

Booksellers & Trade Customers: Sign up for online bulk buying at trade.atlanticbooks.com for wholesale discounts

Booksellers: Create Account on our B2B Portal for wholesale discounts

ML in Retail Personalizing Shopping Experiences: Implement ML for recommendation systems and inventory optimization

by Isandro Myles
Sold out
₹1,654.00
Original price ₹1,654.00
Original price ₹1,654.00
₹1,654.00
Current price ₹1,654.00

Imported Edition - Ships in 18-21 Days

Free Shipping in India on orders above Rs. 500

Request Bulk Quantity Quote
+91
Book cover type: Paperback
  • ISBN13: 9798265144096
  • Binding: Paperback
  • Subject: N/A
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Publication Date:
  • Pages: 164
  • Original Price: USD 16.99
  • Language: English
  • Edition: N/A
  • Item Weight: 227 grams
  • BISAC Subject(s): Industries / Retailing

Every click, cart, and return tells a story. ML in Retail: Personalizing Shopping Experiences shows you how to turn retail data into smarter recommendations, sharper pricing, and inventory that's right where customers need it-online and in-store. No hype-just the proven patterns that teams use to build ML features shoppers actually feel.

You'll design a retail ML stack end-to-end: from clean product and event data to feature stores, training, and real-time serving. Build recommenders that combine collaborative filtering, graph signals, and sequence models, then re-rank for context and business rules. Pair demand forecasting with allocation and replenishment so shelves stay stocked without overbuying. Wrap it all with A/B testing, guardrails, and MLOps so wins are repeatable and safe.

You'll learn how to:

  • Build modern recommendation systems (user-item CF, graph/sequence models, contextual re-ranking)

  • Personalize experiences with segments, real-time context, bandits, and constraints (diversity, margin, exposure)

  • Improve search & discovery with embeddings, vector search, and learning-to-rank

  • Model price & promo effects (elasticity, uplift) and run sound experiments

  • Forecast demand and optimize inventory, allocation, and markdowns

  • Operate at scale with data quality checks, drift monitoring, online features, and safe rollouts

  • Address trust, privacy, and bias with transparent metrics and governance

Written for data scientists, ML engineers, analysts, and product leaders, this is your practical playbook for measurable, customer-friendly retail ML.

Trusted for over 49 years

Family Owned Company

Secure Payment

All Major Credit Cards/Debit Cards/UPI & More Accepted

New & Authentic Products

India's Largest Distributor

Need Support?

Whatsapp Us