One of the most significant problems companies encounter when trying to deliver goods/services to their customers is how to schedule and optimize their daily routes. The end-to-end solution must satisfy a big audience: the customer desires his order (product or service) in time; the driver should execute a productive, safe and optimal route; the company needs to utilize its resources in the most sophisticated way. In a few words the famous VRP (Vehicle Routing Problem) bothers every company (not just 3PL/4PL ones) in its daily business and the predefined routes that have been created years ago by the most highly experienced ex-drivers and now senior-TMOs (Transportation Management Officers) may not be the optimal way of doing business nowadays. This is what RaaS (Routing as a Service) aims to improve! RaaS is the idea behind PowerFleetOptimo, an innovative application provided in a service model that can be partially of fully consumed, providing an excellent set of VRP solutions. It incorporates well established genetic algorithms (ruin-and-recreate) for approaching the solution, making the scheduling of routes, just one more trivial daily task, saving thousands of labor hours and travelling time. In order for RaaS to be successful and well established in a company's culture, accuracy in the results must not be questioned at all! Accuracy, though, is strongly affected by the traffic conditions on the roads. Real time traffic, as well as predictive models of future traffic, based on historical data, are vital components of the RaaS algorithm. Therefore RaaS and TM interoperability is not just a concept, it becomes a necessity.

1. RaaS & TM Interoperability
Panagiotis Zikos
Dipl-Eng NTUA, MSc CMU, MBA
Mensa/WIN member
Co-Founder / R&D Director

2. Software Company
Founded in 2005
ITS member – 2017
Extensive know-how in Software Development
 Mobile Workforce Management
 Fleet Telematics Solutions
 RaaS – Routing as a Service
A significant portfolio of
corporate customers in SE
Europe
ISO 9001 certified
ISO 27001 certified

3. RaaS & TM Interoperability agenda
ITS & Logistics1
RaaS (Routing as a Service)2
RaaS & TM3

4. Revenue 10% GDP
(3% - land transportation)
A strong ecosystem
StartUps, Projects (Ten-T)
5% of total workforce
Logistics in Greece

5. ITS in Logistics
ITS
Intelligent Routes
Goods/Services
delivery
Logistics
process
WH
P&P

6. Route
A series of actions so as to satisfy
the needs of successive nodes
Intelligence:
Resources optimization, QoS, cargo &
driver safety

7. The Art of Intelligent Routes
Customer
Requirements
Resources
(Vehicles)
Special
Configurations
• Demand (volume)
• Time window
• Service time
• Location
• Frequency
• Capacity
• Working hours
• Break
• Start – End point
• Depos
• Pick up & delivery
• Restricted location
• Tolls avoidance
Scheduled
Deliveries
Optimized
Routes

8. Key Concepts of Route Optimization
NPC Output
CPU
Route
Optimization
VRP – mTSP
Nondeterministic Polynomial
Genetic algorithms
Jsprit (GraphHopper)
Ruin-and-Recreate principle
Optimization of a resource
• Travelling distance
• Travelling time
• # Vehicles
• Emissions
• Time in vehicle

9. RaaS – Routing as a Service
RaaS Services
• POIs handling
• Workforce Scheduling
• Routes Optimization
• Driver dispatching
• Real time monitoring
• PoD (Proof of Delivery)
• Pay as you Use

10. RaaS model
POIs
• Geolocating
• Handling
• Picking
Route Optimization
• Scheduling
• Customer data
• Vehicle data
Driver dispatching
• Mobile app
• Route me
• PoD
Monitoring
• GPS
• Telematics
• Feedback
Reporting
• BI
• Customized
• ERP integrated
Pay as you Use

11. RaaS in action
• 120 POIs (handling & selection)
• Specific demand (What & When to deliver)
• 10 available vehicles (Capacity, depos)
• Special (Smart Tolls, restricted location etc)
• Optimized Routes
• Minimum resources (5 routes / travelling time)
• 100% Service delivery
• Customer exceptional experience

12. Emissions
Productivity
Resources optimization
Customer experience
Added Value
Automation without infrastructure
RaaS advantages

13. Traffic Management
Issues
Cultural
modifications
Last minute
updates
Picking & packing
is crucial
RaaS Challenges

14. TM necessity in RaaS
Traffic Management
• Real time data (TSP)
• Historical Data (mTSP)
• Predictive Model
• Sadden alerts (TMO)
RaaS
algorithm

15. TM Interoperability
1
2 Alerts on zones based on
sadden traffic modifications
TM API consumable
through Web Services
Feedback about real time
traffic through local FMS

16. TM Interoperability concept
• Easily consumable Pull API
• Restful Web Services
• Real time data
• Historical data
• Predictive traffic
TM API
• Sadden traffic alerts
• Registration on zones
• Immediate feedback
• Push API
Alerts API
• Real time traffic data
• Local FMS
• Vehicles GPS devices
• Anonymous traffic data
• Win-win scenario
RaaS feedback

17. RaaS & TM - SWOT Analysis
S W
TO
• VRP accuracy
• ETA feasibility
• Routes dynamic
adjustments
Strengths
• Real time must be real
• Alerts must be JIT
• Speed is everything
• Accuracy is essential
Weaknesses
• RaaS mature model
• TMO optimization
• Cultural modifications
become easier
Opportunities
• Traffic data is a strong
requirement for
successful deployment of
RaaS solutions
Threats
RaaS
&
TM

18. Who cares…

19. http://www.TM20.org
Panagiotis Zikos
Co-Founder / R&D Director
iLink Innovative Business Solutions
zikos@iLink.gr
www.iLink.gr - www.powerfleet.gr
https://www.linkedin.com/in/panagiotiszikos/