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.

OperationsPrice Optimizationalgorithm

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

Huolala Tech

Mar 28, 2024 · Operations

How Combining Causal Inference with Genetic Algorithms Optimizes Freight Pricing

This article explores a novel framework that merges causal inference with genetic algorithms to improve freight pricing strategies, addressing data limitations, bias, and dynamic market conditions, and demonstrates its robustness and effectiveness through extensive offline simulations and real‑world experiments.

Operations ResearchPrice Optimizationcausal inference

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How Combining Causal Inference with Genetic Algorithms Optimizes Freight Pricing

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.

Backend EngineeringPrice OptimizationPricing System

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Design and Architecture of DiDi's Pricing System

JD Retail Technology

Nov 18, 2020 · Industry Insights

How JD.com Used AI and Operations Science to Power 11.11 Supply‑Chain Success

JD.com's intelligent supply‑chain team combined AI‑driven forecasting, S&OP planning, real‑time inventory response, smart fulfillment, anti‑arbitrage detection, price governance, and precise C2M delivery to dramatically cut costs, improve inventory turnover, and deliver a seamless 11.11 shopping experience.

Artificial IntelligenceLogisticsOperations

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How JD.com Used AI and Operations Science to Power 11.11 Supply‑Chain Success

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.

AirbnbData SciencePrice Optimization

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