Moving to Omnichannel E-commerce Using Scalable Spatial Analytics
公司规模
Large Corporate
地区
- Europe
国家
- Poland
产品
- Allegro e-commerce platform
- CARTO’s Location Intelligence platform
- Google’s BigQuery data warehouse
技术栈
- Google Cloud Platform
- BigQuery
- CARTO
实施规模
- Enterprise-wide Deployment
影响指标
- Productivity Improvements
- Customer Satisfaction
技术
- 分析与建模 - 大数据分析
- 平台即服务 (PaaS) - 数据管理平台
适用行业
- 电子商务
- 零售
适用功能
- 物流运输
- 销售与市场营销
用例
- 供应链可见性(SCV)
- 库存管理
- 需求计划与预测
服务
- 云规划/设计/实施服务
- 数据科学服务
关于客户
Allegro is the most popular shopping platform in Poland and the largest e-commerce platform of European origin. Allegro operates a marketplace model where customers can buy whatever they need from over 135,000 merchants, who can list an unlimited number of offers on the platform. Each month, 22 million customers visit Allegro’s platform, which is equivalent to almost 80% of all Internet users in Poland. The company decided to invest in its own logistics and delivery services to improve consumer convenience and speed up deliveries.
挑战
Allegro, a leading e-commerce platform in Central Europe, decided to invest in its own logistics and delivery services. Using its own fulfillment infrastructure, network of parcel lockers, and last-mile delivery services, the company aimed to improve consumer convenience and speed up deliveries. This meant that Allegro needed to have greater control over these services, to support their transition from an online to omnichannel player. The challenge in Allegro’s case was having the right analytics platform and tools in place to support their network expansion in 3 key areas: strategy, execution, and performance measurement. Specifically, the main goal was to drive an efficient and cost-effective growth strategy for its network of parcel lockers, a type of delivery that currently makes up a staggering 70% of deliveries in Poland.
解决方案
Allegro needed to use spatial data and analytics to test hypotheses for business decision-makers and simulate various expansion scenarios, at both a national and local level. This required a data-driven approach that takes into account various variables, from volume distribution to population density. To make this possible, Allegro had to geocode and integrate internal datasets (such as delivery and pick-up locations, machine locations, Allegro real estate, etc.), and combine them with acquired external sociodemographic, real estate, and mobility data as well as open source data from OSM and the statistical office. The goal was to obtain a visual representation of all analyzed data, readily available in the form of interactive, user-friendly dashboards. CARTO’s Location Intelligence platform provided the out-of-the-box capabilities the Allegro team was looking for, with seamless cloud integration and data processing, fully customizable map visualizations, and advanced spatial analytics.
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