CARTO Case Studies Moving to Omnichannel E-commerce Using Scalable Spatial Analytics

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	Moving to Omnichannel E-commerce Using Scalable Spatial Analytics CARTO

Moving to Omnichannel E-commerce Using Scalable Spatial Analytics

CARTO

Technology Category	Analytics & Modeling - Big Data Analytics Application Infrastructure & Middleware - Data Exchange & Integration Platform as a Service (PaaS) - Data Management Platforms
Applicable Industries	E-Commerce Retail
Applicable Functions	Logistics & Transportation Sales & Marketing
Use Cases	Demand Planning & Forecasting Inventory Management Supply Chain Visibility
Services	Cloud Planning, Design & Implementation Services Data Science Services
Challenge	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. Read More
About Customer	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. Read More
Solution	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. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Big Data Analytics

Application Infrastructure & Middleware - Data Exchange & Integration

Platform as a Service (PaaS) - Data Management Platforms

Applicable Industries

E-Commerce

Retail

Applicable Functions

Logistics & Transportation

Sales & Marketing

Use Cases

Demand Planning & Forecasting

Inventory Management

Supply Chain Visibility

Services

Cloud Planning, Design & Implementation Services

Data Science Services

Challenge

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.

About Customer

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.

Solution

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.

Impact #1	Allegro was able 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.
Impact #2	The company was able to geocode and integrate internal datasets, and combine them with acquired external sociodemographic, real estate, and mobility data as well as open source data from OSM and the statistical office.
Impact #3	Allegro was able to obtain a visual representation of all analyzed data, readily available in the form of interactive, user-friendly dashboards.

Impact #1

Allegro was able 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.

Impact #2

The company was able to geocode and integrate internal datasets, and combine them with acquired external sociodemographic, real estate, and mobility data as well as open source data from OSM and the statistical office.

Impact #3

Allegro was able to obtain a visual representation of all analyzed data, readily available in the form of interactive, user-friendly dashboards.

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Overview

Moving to Omnichannel E-commerce Using Scalable Spatial Analytics

Operational Impact