1. Madrid Light Metro Use Case
Tracking, interaction and passenger flow analysis tool for
transportation stations
MONITORING TRACKING COMMUNICATING
2. Knowing wishes and interests of buyers is the key
that allows companies to meet the needs of their
customers at the right time and in the most
appropriate way. Knowing well what they want, the
way they want it, how and when it is valuable and
first quality information for companies when they go
out to the market.
Time and technological developments have made
that marketing methodologies changed and new,
more practical and efficient ways emerged.
Everything being transferred to the cell phone is the
current trend. People want to be connected all the
time, anywhere
Knowing the customer through Seeketing
3. Customers today demand a consistent and
personalized purchase experience across all channels:
physical, web, and mobile. In this new multichannel
environment, retailers are faced with the difficulty of
accessing the shopping experience that occurs in
online channels
Seeketing provides a coherent and integrated
solution based on mobile technology which allows
the tracking of visitors either online or at the store.
This facilitates the understanding of the full shopper
funnel while also offering the capability to push
targeted communications to clients when visiting the
facilities
Knowing the customer through Seeketing
Draw them in
Get people in and make the most of their
experience once they are in
Visits cycle
Understand and act on your customers’ path in
the online and offline channel to improve their
experience and conversion rates
Conversions and sales
Increase sales, average ticket and recurrence
of visits, ensuring operational efficiency
4. Ticket data are not enough to know the trips
and destinations that travelers make, since
there is no access control and ticket exits
It is difficult to optimize logistics and
operations without this type of information.
Issue
5. Light Metro needs to know the flow of
travelers in each station along a line, as
well as the entrances and exits on
platforms and stations. .
Challenge
6. Nodes were installed on all the platforms of the
different stations along the line, to distinguish the
direction that the travelers take in their journey.
This generates Journey metrics, as well as the
volume of travelers on the platform and the number
of routes for each stop for each line
Solution
Ocuppancy
Flow
control
Heat Maps
Demand
Estimation
Energy
saving
Engagement
New business
7. • Optimization of the logistics of vehicles in
terms of number of vehicles per hour
• Objective information to analyze the
performance of the service in relation to the
amount of tickets delivered.
• Replacement of analytics based on estimates
and samples by data samples close to reality
(70% of total real travelers) and available day
by day.
Results