price optimization

Zhuanzhuan Tech

Sep 26, 2024 · Artificial Intelligence

Pricing Strategy and Model Evolution for Second‑Hand Phone Auctions in ZhaiZhai TOB Marketplace

This article examines the characteristics of ZhaiZhai's B2B auction scenario, defines core pricing metrics, presents a step‑by‑step methodology for determining optimal starting prices, reviews early practices and their shortcomings, and details the current modular machine‑learning model architecture that improves transaction rates and reduces price premiums for second‑hand smartphones.

E-commerceMachine Learningalgorithm

0 likes · 29 min read

Pricing Strategy and Model Evolution for Second‑Hand Phone Auctions in ZhaiZhai TOB Marketplace

Didi Tech

Nov 25, 2020 · Backend Development

Design and Architecture of DiDi's Pricing System

DiDi’s unified, distributed pricing platform delivers accurate pre‑trip estimates, real‑time billing, and detailed invoices across multiple ride‑hailing and bike‑sharing services by leveraging a stateless core engine, flexible Apollo‑based configuration, modular micro‑services, high‑availability data stores, and open‑pricing/price‑rights mechanisms to ensure stability, accuracy, and rapid feature rollout.

Pricing Systembackend engineeringdistributed architecture

0 likes · 18 min read

Design and Architecture of DiDi's Pricing System

Qunar Tech Salon

Oct 22, 2015 · Artificial Intelligence

Airbnb’s Dynamic Pricing System and Machine‑Learning Platform (Aerosolve)

The article describes how Airbnb built and continuously improved a machine‑learning‑driven dynamic pricing tool—Aerosolve—that extracts property features, compares similar listings, incorporates seasonal and event‑driven demand, and automatically updates nightly price suggestions to help hosts set optimal rates.

AirbnbMachine Learningalgorithm

0 likes · 18 min read

Airbnb’s Dynamic Pricing System and Machine‑Learning Platform (Aerosolve)