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pricing engine

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NetEase Yanxuan Technology Product Team
NetEase Yanxuan Technology Product Team
Aug 20, 2021 · Backend Development

Design and Implementation of a Pricing Calculation Engine for E-commerce Promotions

The article details the design and implementation of a dedicated pricing calculation engine that decouples complex e‑commerce promotion logic from transaction services, using componentized rules, configurable pipelines, multi‑level caching, and lane‑based simulations to achieve high extensibility, low latency, and accurate pricing across browsing and checkout scenarios.

Backend DevelopmentConfigurationcomponent architecture
0 likes · 9 min read
Design and Implementation of a Pricing Calculation Engine for E-commerce Promotions
vivo Internet Technology
vivo Internet Technology
Aug 18, 2021 · Backend Development

Design and Implementation of Vivo Mall Promotion Pricing Engine

The article details Vivo Mall’s new promotion pricing engine, which replaces duplicated site‑level logic with a layered model (product, shop, platform) that supports configurable stacking, processes discounts through three calculation stages, and uses a meta‑driven rule engine to flexibly interpret JSON promotion templates, ensuring extensible, stable pricing functionality.

Backend Developmentdiscount modele-commerce
0 likes · 12 min read
Design and Implementation of Vivo Mall Promotion Pricing Engine
Qunar Tech Salon
Qunar Tech Salon
Nov 29, 2017 · Backend Development

Optimizing the Pricing Engine for High‑Volume Flight Search: Hash Sharding, Caching, and Response‑Time Improvements

This article explains how Qunar's international ticket pricing engine was optimized by redesigning hash rules for sharding, enhancing local cache replication, employing multi‑stage result delivery, and applying common distributed‑system patterns to boost computational capacity and reduce response latency for massive flight‑search workloads.

CachingShardingdistributed systems
0 likes · 8 min read
Optimizing the Pricing Engine for High‑Volume Flight Search: Hash Sharding, Caching, and Response‑Time Improvements
Qunar Tech Salon
Qunar Tech Salon
Nov 28, 2017 · Backend Development

Optimizing the TTS Pricing Engine: From Monolithic V1 to Scalable V2 Architecture

This article details the evolution of Qunar's TTS pricing engine from a monolithic V1 implementation with dual-level caching and blocking HTTP interfaces to a scalable V2 architecture featuring service separation, asynchronous processing, CQRS-based rule storage, canal synchronization, Solr and Redis indexing, and Kafka-driven data pipelines.

CQRSCachingKafka
0 likes · 10 min read
Optimizing the TTS Pricing Engine: From Monolithic V1 to Scalable V2 Architecture
Qunar Tech Salon
Qunar Tech Salon
Oct 25, 2017 · Backend Development

Design and Optimization of a High‑Performance Flight Search and Pricing System

This article outlines the design, challenges, and performance optimizations of a large‑scale flight search and pricing platform, covering system requirements, architecture layers, caching strategies, indexing, real‑time data synchronization, memory reduction techniques, and high‑availability solutions to handle massive, low‑latency queries.

CachingHigh Availabilitydistributed systems
0 likes · 19 min read
Design and Optimization of a High‑Performance Flight Search and Pricing System