6. The European energy
sector is one of the most
disrupted industries…
Source: http://www.rp-online.de/nrw/staedte/geldern/eine-information-ist-vorgesehen-aid-1.7396284
7. Source: http://www.rp-online.de/nrw/staedte/geldern/eine-information-ist-vorgesehen-aid-1.7396284
…and the situation in the Dutch energy market is
especially challenging and severe!
Energy disruption
7
41%
18%
53%
39%
…
15%
…
6% 6%
Share of renewable
energy production 2017:
NL on rank 27 out of 28
EU member states1
Source: Eurostat 2018 1. In addition, NL has most ambitious growing targets until 2020 (doubling renewables share)
8.
9. innogy’s retail data strategy is aimed at creating ideal
360° views of energy consumers and households
ENRICHMENT
Smart Meter
House Profile
ECOSYSTEM Social
Media
Media
Partners
Retail
Partners
Market
Research /
Panel
BAG
Service
Partner
Other
Sources
EDM
Other
Partners
Installations &
maintenance status
• Electricity & gas usage
• Energy generation
• Size of house
• Energy profile
(solar, insulation,…)
• # people
• Demographics
• Bisnode
Demographics
Contracts
Comms
preferences
Consents
ID
• Weather
• City data
• Traffic data • Price comparisons
• Real-estate purchases
• Interests, e.g. soccer
• Industry comparisons
• Surveys
• Leads for E&G
• Installations
• Service status
Smart Home
• Sensor data from home
(temperature,
humidity, etc.)
• Connected devices
• Interest profile
• Purchase intent
• Moving intent
Marketing campaigns
• Email openings and CTR
• Given reviews and stars
Customer Service
• Service contacts
Intent & Interest
eMobility
• Charging station
• Charging service
CORE
Note: Highlights the main identified data sources
Account
• Product, price,
location, recency
Purchases via retail
Online Usage
• Browsing
• Purchase
• Video
Mobile app usage
Satisfaction
• Purchase to loyalty
• Customer Effort
• NPS
• Facebook
• Google
• Twitter
• Search engine terms
Household Profile
10. innogy’s data strategy is built on a layered MarTech
architecture, resulting in effective channel decisions
Full
customer
&
household
view
11. 1
3
2
4
360° house 360° customer
1st2nd
3rd
Combining house and customer data with relevant 3rd party data further personalizes offerings and makes it
possible to offer E+ products to commodity users and vice versa.
Some examples scale in EUR:
▪ Solar panels for house owners with a
suitable rooftop
▪ Isolation for proven outdated
neighbourhoods
▪ Energy efficient products in cooperation
with electronic retailers via
disaggregation
Using the data of service partners and household data builds a location focused profile On and offline data help both digital
marketing and call center agents in a
real time manner
* Results are not significant and tested on a small group of
commercial contact center agents
We see a 70%*+ in
conversion of
E+/green products
In NL we use a full customerand household view, combininghouse,
customerand third party data…
12. Retail Digital Program 2019
12
Within our AI & EXPERIMENTATION@SCALE initiative,
we scale innovations across our 17mn customer base
AI &
experimen-
tation
@scale
Scale best-in-class local projects Experiment@scale with central impulses
Scale conversational AI Scale BE data science use cases
• Best-in-class E2E online
solar sales, data-based1
• Accuracy boost (~100%)
1. E.g. Kadaster, EDM and high-resolution satellite imaging data – with algorithms on top 2. Vs. control group after testing 256 improvements in only 34 days
• AI Multivariate A/B testing
• Boost green sales and ramp-up
online conversion (+17%2)
• Scaling in progress:
• International Guild setup
• Share & scale technologies
• Test & coordinate (e.g. Sophie)
• Predictive models, e.g. churn
prevention, CLV3, inbound calls
• Scaling in progress:
20. By analysing energy consumption with the
help of AI, we can identify how much power
each household appliance consumes.
21. The web app allows for full cost
control over the energy consumption
of all appliances. Monthly billing is
based on the actual usage and tips for
energy saving are given…
• Monthly overview
• Detailed consumption by appliance
• Hour-by-hour view
Main Features
21
22. To realize AI based data-driven use cases, we team-up
with strong corporate partners across industries
To disrupt or be disrupted, that is the question...
22
23. “Our planet will be a better place, when we
create a sustainable world in which innogy
inspires how people live and work.”
24. “Our planet will be a better place, when we
create a sustainable world in which innogy
inspires how people live and work.”
Please let me know
your questions!
