MyData case: Carbon footprint calculator

Organisation: S Group – s-ryhma.fi/en 

Country: Finland

Domain: Consumer services

Target group: S Group’s loyalty customers

Keywords: Consumer data, carbon footprint, climate impact

Contact: Kai Kuikkaniemi

Relevant link(s):

Case description

Carbon footprint calculator as part of My Purchases (“Omat ostot”) -app.

My Purchases is a service that allows the consumer to track personal purchases over the past year. The service includes a calculator that indicates the carbon footprint of the food the consumer has purchased.

Organisation

S Group is a customer-owned Finnish network of companies in the retail and service sectors, with more than 1,800 outlets in Finland. They offer services in the supermarket trade, the department store and speciality store trade, service station store and fuel sales, the travel and hospitality business and the hardware trade. They provide all of our co-op members with comprehensive banking services through S-Bank.

Value proposition

My purchases service has 350 000 users and steady growth. Carbon footprint calculator utilises existing data into an easy to use service for the consumer.

Problem

There has been a clear demand for a simple, easy to use calculator directed to consumers that indicates the climate impact of the foods they purchase.

Solution

The goal is to provide help and tools for consumers to look at their climate impacts of foods they purchased.

Also to help them reduce their carbon footprint in the future.

Screenshot

MyData Principles

Principle 1. Human-centric control of personal data

Principle 2. Individual as the point of integration

Principle 3. Individual empowerment

Principle 4. Portability: access and re-use

Principle 5. Transparency and accountability

Principle 6. Interoperability

Most developed principles

Principle 1.
Customers can browse and manage their purchase data in one place.

Principle 3.
Customers are empowered to be more cost-conscious and value-driven in their purchases.

Principle 5.
Indicating the carbon footprint of one’s shopping basket at the product group level is visible from agricultural production, processing, packaging and transportation to the shop.

Data types used

  • Purchases histories 
  • Product groups
  • Reference data

Other organisations involved

Natural Resources Institute Finland (Luke) – www.luke.fi/en

How can the MyData community help you reach your goals?

Continue developing data portability and networked data management.

The case presentation at the MyData 2018 conference

Case library presentation