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MEETING THE FUTURE -
UNSOLVED PROBLEMS IN
FREIGHT TRANSPORT FROM
AN E-COMMERCE
PERSPECTIVE
Per Olof Arnäs
Chalmers Univers...
Northern LEAD 

Logistics Research Centre
Founded by:
Chalmers University of Technology
University of Gothenburg
Logistics...
Tomorrow’s logistics. We are finding the answers.
Around 70 researchers
Research centre for
sustainable logistics
solution...
Professors 10
Visiting Professors 6
Associate Professors 5
Post docs 6
Faculty 14
PhD students 32
Total 73
Five core
resea...
Demographic
and social
change
Shift in
economic
power
Rapid
urbanisation
Technological
breakthroughs
Climate
change and
re...
Customer
controls last
mile
Faster and
better returns
Better
delivery
experience
Secure
identification on
pickup/delivery
...
Process
improvement
Service
developm
entInfrastructure
developm
ent
Customer
controls last
mile
Faster and
better
returns
...
Process
improvement
Service
developm
entInfrastructure
developm
ent
Customer
controls
last mile
Faster and
better
returns
...
Customer
controls
last mile
Faster
and better
returns
Better
delivery
experience
Secure
identification
on pickup/
delivery...
Customer
controls
last mile
Faster
and better
returns
Better
delivery
experience
Secure
identification
on pickup/
delivery...
Stage Coach Wheel by arbyreed on Flickr
Development of transportation
technology has been
fairly linear
…for the last 5500...
We are in the middle of a gigantic
exponential development curve
beginning
A new global eco system
where new types of,
knowledge based,
industries compete with
traditional ones
http://jaysimons.dev...
Startups don’t compete with airlines...
by purchasing a bunch of planes
hiring a bunch of pilots
and locking up a bunch of...
Startups compete with airlines by
inventing videoconferencing.
Startups don’t compete with airlines...
by purchasing a bun...
RESOURCE UTILISATION
LOW
Source: Kent Lumsden
Safety imbalance
Variation in resource demand
Chain imbalance
Caused by the ...
RESOURCE UTILISATION
LOW
Source: Kent Lumsden
Safety imbalance
Variation in resource demand
Chain imbalance
Caused by the ...
But the biggest problem in
transportation is time.
There is not enough of it.
Ever.
InSearchOfLostTimebybogenfreundonFlickr
Strategic Tactical Operational Predictive
Time horizons
Freight industry
Most (preferably all)
decisions in the
transporta...
The transport
industry does not like
real-time decisions.
At all.
Batch-handling
Zip codes Zones
Time-tables
DSC_9073.jpg ...
Image: Alain Delorme, alaindelorme.com
The current
model is focused
on economy of
scale and
standardization
The current paradigm
So…
What are we
doing about all
this?
Gartners Hype Cycle for Emerging Technologies
Augmenting
humans with
technology
Machines
replacing
humans
Humans and
machi...
Gartners Hype Cycle for Emerging Technologies
Source: Gartner August 2014
Could affect freight transport
Gartners Hype Cycle for Emerging Technologies
Increasing freight transport demand
http://www.eea.europa.eu/data-and-maps/figures/freight-transport-activity-growth-for-e...
Business processes Infrastructure
Paperbased
Phone

Papers
Road
signs
A
nalogue
tools
R
D
S
M
onitorfuel
cosnum
ption
Digi...
Opportunities
Digitalisation Increasinggoods volumes
New
technology
Political
interest
Quad Aces by fitzsean on Flickr
Strategic Tactical Operational Predictive
Time horizons
We are approaching
this boundary
…and we are
starting to
move past...
Goods
Vehicles
Business
processes
Infrastructure
Stra-
tegic
Tac-
tical
Opera-
tional
Pre-
dictiveWhat happens
when access...
ICT Maturity
App
"Multi-Touch" by DaveLawler on Flickr (CC-BY)
The Action of New York City by
Trey Ratcliff on Flickr (CC-BY,NC,SA)
Need for speed
Data collection
Dataprocessing
Data
ex...
En la cima! by Alejandro Juárez on Flickr (CC-BY)
3 mountaintops to climb…
En la cima! by Alejandro Juárez on Flickr (CC-BY)
3 data types
Mountaintop #1
Collection of data in real-time
Fixed Histor...
En la cima! by Alejandro Juárez on Flickr (CC-BY)
Mountaintop #1
Collection of data in real-time
5 data domains
Vehicle Ca...
Length

Weight

Width

Height
Capacity

+ other PBS-criteria
Emissions

Fuel consumption

Route
Position

Speed

Direction...
Mountaintop #2
Processing of data in real-time
En la cima! by Alejandro Juárez on Flickr (CC-BY)
Locals and Tourists #1 (G...
Mountaintop #2
Processing of data in real-time
En la cima! by Alejandro Juárez on Flickr (CC-BY)
Mountaintop #3
Exploiting data in real-time
En la cima! by Alejandro Juárez on Flickr (CC-BY)
Connected. 362/365 by AndYaD...
Mountaintop #3
Exploiting data in real-time
En la cima! by Alejandro Juárez on Flickr (CC-BY)
Boeing-KC-97 Stratotanker by...
smile! by Judy van der Velden (CC-BY,NC,SA)
Speculative
shipping
http://www.scdigest.com/ontarget/
14-01-21-1.php?cid=7767
http://www.scdigest.com/ontarget/
14-01-21-1.php?cid=7767
Speculative
shipping Package item(s) as a package for
eventual s...
CASES

(MANY)
CASES

(MANY MORE)
Big data in freight
transport
Film by Foursquare. Google: checkins foursquare
”Fast Up-and-Coming
Movers Toward the Peak
Are Fueled by Digital
Business and Payments”
”…the market has settled
into a re...
So…
What is
Big data?
80 by Phil Dragash on Flickr (CC-BY,NC,SA)
2011 2013 2015
”Big data is an all-
encompassing term for
any collection of data sets
so large and complex that
it becomes...
Jawbone measures sleep
interruption during earthquake
https://jawbone.com/blog/napa-earthquake-effect-on-sleep/
Not statistics
Exhausted by Adrian Sampson on Flickr (CC-BY)
just
Not
Business
Intelligence
Basingstoke Office Staff Desk "No computer" by John Sheldon on Flickr (CC-BY,NC,SA)
just
http://dashburst.com/infographic/big-data-volume-variety-velocity/
Human resources
Reduction in driver
turnover, driver
assignment, using
sentiment data
analysis
Real-time capacity
availabi...
7Big Data Best Practice Across Industries
Usage of data in order to:
Increase Level of
Transparency
Optimize Resource
Cons...
Manage complex systems
Image from: http://www.as-coa.org/watchlisten/ascoa-visits-rios-operations-center
Measure
real-time
system
behaviour
Emil Johansson - EJOH.SE
Predict future events
Avoid unpleasant surprises
http://blog.digital.telefonica.com/?press-release=telefonica-dynamic-insights-launches-smart-steps-in-the-uk
Vizualisation
Domain
knowledge
critical!
See for instance: Waller, M. A. and Fawcett, S. E. (2013), Data
Science, Predictive Analytics, ...
Challenges
The Challenger by Martín Vinacur on Flickr (CC-BY)
Challenges
The Challenger by Martín Vinacur on Flickr (CC-BY)
Company
Challenges
The Challenger by Martín Vinacur on Flickr (CC-BY)
Company
Supply chain,
simple
Challenges
The Challenger by Martín Vinacur on Flickr (CC-BY)
Company
Supply chain,
simple
Supply chain,
complex
Challenges
The Challenger by Martín Vinacur on Flickr (CC-BY)
Company
Supply chain,
simple
Supply chain,
complex
Eco system
Challenges
The Challenger by Martín Vinacur on Flickr (CC-BY)
Cross-disciplinary
Cross-industries
Cross-borders
The Challenger by Martín Vinacur on Flickr (CC-BY)
Not all ideas age with grace
Customer
controls
last mile
Faster
and better
returns
Better
delivery
experience
Secure
identification
on pickup/
delivery...
Customer
controls
last mile
Faster
and better
returns
Better
delivery
experience
Secure
identification
on pickup/
delivery...
Even if it hurts.
It’s not business as usual.
This is the internet
happening to freight
transport.
There is no ’usual’
anymore.
Hello Kitty ...
It’s not business as usual.
Get used to it.
This is the internet
happening to freight
transport.
There is no ’usual’
anymo...
MEETING THE FUTURE -
UNSOLVED PROBLEMS IN
FREIGHT TRANSPORT FROM
AN E-COMMERCE
PERSPECTIVE
Per Olof Arnäs
Chalmers Univers...
Meeting the future - Unsolved problems in freight transport from an e-commerce perspective
Meeting the future - Unsolved problems in freight transport from an e-commerce perspective
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Meeting the future - Unsolved problems in freight transport from an e-commerce perspective

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The E-commerce sector is in many ways driving innovation in freight transport. In Sweden, the e-commerce industry has formulated a series of areas where the freight industry needs to be improved, either by process improvement, service development or infrastructure development.

This talk (45 mins) looks at these issues from a digital development point of view for the freight industry. A lot has to happen, but much is also possible.

Published in: Business
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Meeting the future - Unsolved problems in freight transport from an e-commerce perspective

  1. 1. MEETING THE FUTURE - UNSOLVED PROBLEMS IN FREIGHT TRANSPORT FROM AN E-COMMERCE PERSPECTIVE Per Olof Arnäs Chalmers University of Technology @Dr_PO per-olof.arnas@chalmers.se about.me/perolofarnas Slides: slideshare.net/poar At the computer by Lars Plougmann on Flickr (CC-BY,SA)
  2. 2. Northern LEAD 
 Logistics Research Centre Founded by: Chalmers University of Technology University of Gothenburg Logistics and Transport Society LTS
  3. 3. Tomorrow’s logistics. We are finding the answers. Around 70 researchers Research centre for sustainable logistics solutions Five core research groups Organises, facilitates, disseminates highly relevant logistics research Collaboration between Chalmers and University of Gothenburg
  4. 4. Professors 10 Visiting Professors 6 Associate Professors 5 Post docs 6 Faculty 14 PhD students 32 Total 73 Five core research groups Physical Distribution Production Logistics Industrial marketing & purchasing Logistics & Transport Optimization
  5. 5. Demographic and social change Shift in economic power Rapid urbanisation Technological breakthroughs Climate change and resource scarcity 5 GLOBAL TRENDS Crowd by James Cridland on Flickr (CC-BY) Four Storms And A Twister by JD Hancock on Flickr (CC-BY) Boston Downtown at Night by Werner Kunz on Flickr (CC-BY,NC,SA) ¡Rayos! by José Eugenio Gómez Rodríguez on Flickr (CC-BY,NC,SA)
  6. 6. Customer controls last mile Faster and better returns Better delivery experience Secure identification on pickup/delivery Distribution of food Home delivery Support companies that want to add E- commerce to their business Collect-in-store Local same-day delivery Improved delivery note Delivery and pickup during weekends Marketing of the E-channel Sustainable and climate friendly 3PL targeted at E- commerce Faster, more reliable and secure deliveries in Europe Better infrastructure on consumer side Better security Source: Svensk Digital Handel 2014 Bo Zetterqvist Areas of development for logistics companies in relation to e-commerce
  7. 7. Process improvement Service developm entInfrastructure developm ent Customer controls last mile Faster and better returns Better delivery experience Secure identification on pickup/delivery Distribution of food Home delivery Support companies that want to add E- commerce to their business Collect-in-store Local same-day delivery Improved delivery note Delivery and pickup during weekends Marketing of the E-channel Sustainable and climate friendly 3PL targeted at E- commerce Faster, more reliable and secure deliveries in Europe Better infrastructure on consumer side Better security Source: Svensk Digital Handel 2014 Bo Zetterqvist Areas of development for logistics companies in relation to e-commerce
  8. 8. Process improvement Service developm entInfrastructure developm ent Customer controls last mile Faster and better returns Better delivery experience Secure identification on pickup/delivery Distribution of food Home delivery Support companies that want to add E- commerce to their business Collect-in-store Local same-day delivery Improved delivery note Delivery and pickup during weekends Marketing of the E-channel Sustainable and climate friendly 3PL targeted at E-commerce Faster, more reliable and secure deliveries in Europe Better infrastructure on consumer side Better security Source: Svensk Digital Handel 2014 Bo Zetterqvist Areas of development for logistics companies in relation to e-commerce Digital development needed in freight transport
  9. 9. Customer controls last mile Faster and better returns Better delivery experience Secure identification on pickup/ delivery Collect-in- store Improved delivery note Sustainable and climate friendly 3PL targeted at E-commerce Faster, more reliable and secure deliveries in Europe Better security Source: Svensk Digital Handel 2014 Bo Zetterqvist Digital development needed in freight transport Process improvement Use ICT to make the system more efficient Real-time decision making, footprinting, better digital interaction between stakeholders Service development Use ICT to create new services Digital information enables new business models Infrastructure development Use ICT to interact with infrastructure Location Based Intelligence etc.
  10. 10. Customer controls last mile Faster and better returns Better delivery experience Secure identification on pickup/ delivery Collect-in- store Improved delivery note Sustainable and climate friendly 3PL targeted at E-commerce Faster, more reliable and secure deliveries in Europe Better security Source: Svensk Digital Handel 2014 Bo Zetterqvist Digital development needed in freight transport Process improvement Use ICT to make the system more efficient Real-time decision making, footprinting, better digital interaction between stakeholders Service development Use ICT to create new services Digital information enables new business models Infrastructure development Use ICT to interact with infrastructure Location Based Intelligence etc. The freight industry has work to do…
  11. 11. Stage Coach Wheel by arbyreed on Flickr Development of transportation technology has been fairly linear …for the last 5500 years
  12. 12. We are in the middle of a gigantic exponential development curve beginning
  13. 13. A new global eco system where new types of, knowledge based, industries compete with traditional ones http://jaysimons.deviantart.com/art/Map-of-the-Internet-1-0-427143215
  14. 14. Startups don’t compete with airlines... by purchasing a bunch of planes hiring a bunch of pilots and locking up a bunch of terminals at airports. Quote: bryce.vc/post/18404303850/the-problem-with-innovation Image: Connecting the community, my Twitter strategy, and American Airlines at DFW by Trey Ratcliff on Flickr (CC-BY,NC,SA)
  15. 15. Startups compete with airlines by inventing videoconferencing. Startups don’t compete with airlines... by purchasing a bunch of planes hiring a bunch of pilots and locking up a bunch of terminals at airports. Quote: bryce.vc/post/18404303850/the-problem-with-innovation Image: Connecting the community, my Twitter strategy, and American Airlines at DFW by Trey Ratcliff on Flickr (CC-BY,NC,SA)
  16. 16. RESOURCE UTILISATION LOW Source: Kent Lumsden Safety imbalance Variation in resource demand Chain imbalance Caused by the chain Technological imbalance E.g. mismatch in equipment Operational imbalance Goods and resource flow not compatible Structural imbalance Uneven transport demand
  17. 17. RESOURCE UTILISATION LOW Source: Kent Lumsden Safety imbalance Variation in resource demand Chain imbalance Caused by the chain Technological imbalance E.g. mismatch in equipment Operational imbalance Goods and resource flow not compatible Structural imbalance Uneven transport demand Several of these imbalances can be reduced by reducing uncertainties
  18. 18. But the biggest problem in transportation is time. There is not enough of it. Ever. InSearchOfLostTimebybogenfreundonFlickr
  19. 19. Strategic Tactical Operational Predictive Time horizons Freight industry Most (preferably all) decisions in the transportation industry are made here. At the latest. Uninformed, ad-hoc, and probably non optimal, decisions Science fiction
  20. 20. The transport industry does not like real-time decisions. At all. Batch-handling Zip codes Zones Time-tables DSC_9073.jpg by James England on Flickr (CC-BY)
  21. 21. Image: Alain Delorme, alaindelorme.com The current model is focused on economy of scale and standardization
  22. 22. The current paradigm
  23. 23. So… What are we doing about all this?
  24. 24. Gartners Hype Cycle for Emerging Technologies Augmenting humans with technology Machines replacing humans Humans and machines working alongside each other Machines better understanding humans and the environment Humans better understanding machines Machines and humans becoming smarter
  25. 25. Gartners Hype Cycle for Emerging Technologies Source: Gartner August 2014
  26. 26. Could affect freight transport Gartners Hype Cycle for Emerging Technologies
  27. 27. Increasing freight transport demand http://www.eea.europa.eu/data-and-maps/figures/freight-transport-activity-growth-for-eu-25 EU-25
  28. 28. Business processes Infrastructure Paperbased Phone
 Papers Road signs A nalogue tools R D S M onitorfuel cosnum ption Digitalisation version 0 0.5 1.0 1.5 2.0 E-mail Fax TMS- systems Excel Route planning G PS fornavigation Electronically generated freight docum ents Barcodes RFID-tags Simple order handling Advanced order handling Openinterface W eb based UI Platform based system s Hardware- oriented Datacollection systems (proprietary) Communicationwith vehicles E-invoice W eb based booking Route optimisation Thesocialweb Openconnectivity Integrated prognosis Data collection systems (open) Tolling system s Webservices with traffic data Dynamic routing systems Performance BasedaccessPerformanceBasedaccess Mashups
 Multipledata sources Probedata Individual routing inform ation Platooning Platooning Exceptions handling Smartgoods Manual Computers Software Functions Distributed decision making G oods as bi- directional hyperlink Paperbased CC-BY Per Olof Arnäs, Chalmers Goods Vehicle Barcodes   RFID   Sensors ERP systems   TMS systems   E-invoices   Cloudbased services Order handling   Driver support   Vehicle economics RDS-TMC   Road taxes   Active traffic support Predictive m aintenance 2014-10-15
  29. 29. Opportunities Digitalisation Increasinggoods volumes New technology Political interest Quad Aces by fitzsean on Flickr
  30. 30. Strategic Tactical Operational Predictive Time horizons We are approaching this boundary …and we are starting to move past it! Real-time!
  31. 31. Goods Vehicles Business processes Infrastructure Stra- tegic Tac- tical Opera- tional Pre- dictiveWhat happens when access to real-time data increases? not quite clear on the concept by woodleywonderworks on Flickr (CC-BY)
  32. 32. ICT Maturity App "Multi-Touch" by DaveLawler on Flickr (CC-BY)
  33. 33. The Action of New York City by Trey Ratcliff on Flickr (CC-BY,NC,SA) Need for speed Data collection Dataprocessing Data exploitation
  34. 34. En la cima! by Alejandro Juárez on Flickr (CC-BY) 3 mountaintops to climb…
  35. 35. En la cima! by Alejandro Juárez on Flickr (CC-BY) 3 data types Mountaintop #1 Collection of data in real-time Fixed Historical Snapshot
  36. 36. En la cima! by Alejandro Juárez on Flickr (CC-BY) Mountaintop #1 Collection of data in real-time 5 data domains Vehicle CargoDriver Company Infrastructure/ facility at least…
  37. 37. Length
 Weight
 Width
 Height Capacity
 + other PBS-criteria Emissions
 Fuel consumption
 Route Position
 Speed
 Direction Weight
 Origin
 Destination Accepted ETA Temperature
 + other state variables Temperature + other state variables Education/training Speed (ISA)
 Rest/break schedule
 Traffic behaviour Belt usage
 Alco lock history Schedule status (time to next break etc.) Contracts/ agreements Previous interactions Backoffice support Fixed Historical Snapshot Vehicle Cargo Driver Company Infrastructure /facility Map + fixed data layers Traffic history Current traffic Queue Availability DATA MATRIX
  38. 38. Mountaintop #2 Processing of data in real-time En la cima! by Alejandro Juárez on Flickr (CC-BY) Locals and Tourists #1 (GTWA #2): London by Eric Fischer on Flickr
  39. 39. Mountaintop #2 Processing of data in real-time En la cima! by Alejandro Juárez on Flickr (CC-BY)
  40. 40. Mountaintop #3 Exploiting data in real-time En la cima! by Alejandro Juárez on Flickr (CC-BY) Connected. 362/365 by AndYaDontStop on Flickr (CC-BY) Lisa for I/O Keynote by Max Braun on Flickr (CC-BY) Fulham-Manchester United 24-02-2007 by vuhlser on Flickr (CC- BY)
  41. 41. Mountaintop #3 Exploiting data in real-time En la cima! by Alejandro Juárez on Flickr (CC-BY) Boeing-KC-97 Stratotanker by x-ray delta one on Flickr (CC-BY)
  42. 42. smile! by Judy van der Velden (CC-BY,NC,SA) Speculative shipping http://www.scdigest.com/ontarget/ 14-01-21-1.php?cid=7767
  43. 43. http://www.scdigest.com/ontarget/ 14-01-21-1.php?cid=7767 Speculative shipping Package item(s) as a package for eventual shipment to a delivery address Associate unique ID with package Select destination geographic area for package Ship package to selected distribution geographic area without completely specifying delivery address Orders satisfied by item(s) received? Package redirected? Determine package location Convey delivery address, package ID to delivery location Assign delivery address to package Deliver package to delivery address Convey indication of new destination geographic area and package ID to current location Yes Yes No No smile! by Judy van der Velden (CC-BY,NC,SA)
  44. 44. CASES
 (MANY)
  45. 45. CASES
 (MANY MORE)
  46. 46. Big data in freight transport Film by Foursquare. Google: checkins foursquare
  47. 47. ”Fast Up-and-Coming Movers Toward the Peak Are Fueled by Digital Business and Payments” ”…the market has settled into a reasonable set of approaches, and the new technologies and practices are additive to existing solutions” (regarding the decline of Big data on the curve) Gartner, August 2014 Gartners Hype Cycle for Emerging Technologies
  48. 48. So… What is Big data? 80 by Phil Dragash on Flickr (CC-BY,NC,SA)
  49. 49. 2011 2013 2015 ”Big data is an all- encompassing term for any collection of data sets so large and complex that it becomes difficult to process using on-hand data management tools or traditional data processing applications.” - Wikipedia
  50. 50. Jawbone measures sleep interruption during earthquake https://jawbone.com/blog/napa-earthquake-effect-on-sleep/
  51. 51. Not statistics Exhausted by Adrian Sampson on Flickr (CC-BY) just
  52. 52. Not Business Intelligence Basingstoke Office Staff Desk "No computer" by John Sheldon on Flickr (CC-BY,NC,SA) just
  53. 53. http://dashburst.com/infographic/big-data-volume-variety-velocity/
  54. 54. Human resources Reduction in driver turnover, driver assignment, using sentiment data analysis Real-time capacity availability Inventory management Examples of applications in freight (Waller and Fawcett, 2013) Transportation management Optimal routing, taking into account weather, traffic congestion, and driver characteristics Time of delivery, factoring in weather, driver characteristics, time of day and date Forecasting Waller, M. A. and Fawcett, S. E. (2013), Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management. JOURNAL OF BUSINESS LOGISTICS, 34: 77–84
  55. 55. 7Big Data Best Practice Across Industries Usage of data in order to: Increase Level of Transparency Optimize Resource Consumption Improve Process Quality and Performance Increase customers loyalty and retention Performing precise customer segmentation and targeting Optimize customer interaction and service Expanding revenue streams from existing products Creating new revenue streams from entirely new (data) products Exploit data for: Capitalize on data by: New Business Models Customer Experience Operational Efficiency Use data to: • Increase level of transparency • Optimize resource consumption • Improve process quality and performance Exploit data to: • Increase customer loyalty and retention • Perform precise customer segmentation and targeting • Optimize customer interaction and service Capitalize on data by: • Expanding revenue streams from existing products • Creating new revenue streams from entirely new (data) products New Business ModelsCustomer ExperienceOperational Efficiency Figure 4: Value dimensions for Big Data use cases; Source: DPDHL / Detecon DHL 2013: ”Big Data in Logistics”
  56. 56. Manage complex systems Image from: http://www.as-coa.org/watchlisten/ascoa-visits-rios-operations-center
  57. 57. Measure real-time system behaviour Emil Johansson - EJOH.SE
  58. 58. Predict future events
  59. 59. Avoid unpleasant surprises
  60. 60. http://blog.digital.telefonica.com/?press-release=telefonica-dynamic-insights-launches-smart-steps-in-the-uk Vizualisation
  61. 61. Domain knowledge critical! See for instance: Waller, M. A. and Fawcett, S. E. (2013), Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management. JOURNAL OF BUSINESS LOGISTICS, 34: 77–84 Data scientists - the new superstars "Data Science Venn Diagram" by Drew Conway - Own work. Licensed under Creative Commons Attribution- Share Alike 3.0 via Wikimedia Commons - http://commons.wikimedia.org/wiki/ File:Data_Science_Venn_Diagram.png#mediaviewer/File:Data_Science_Venn_Diagram.png
  62. 62. Challenges The Challenger by Martín Vinacur on Flickr (CC-BY)
  63. 63. Challenges The Challenger by Martín Vinacur on Flickr (CC-BY) Company
  64. 64. Challenges The Challenger by Martín Vinacur on Flickr (CC-BY) Company Supply chain, simple
  65. 65. Challenges The Challenger by Martín Vinacur on Flickr (CC-BY) Company Supply chain, simple Supply chain, complex
  66. 66. Challenges The Challenger by Martín Vinacur on Flickr (CC-BY) Company Supply chain, simple Supply chain, complex Eco system
  67. 67. Challenges The Challenger by Martín Vinacur on Flickr (CC-BY) Cross-disciplinary Cross-industries Cross-borders
  68. 68. The Challenger by Martín Vinacur on Flickr (CC-BY) Not all ideas age with grace
  69. 69. Customer controls last mile Faster and better returns Better delivery experience Secure identification on pickup/ delivery Collect-in- store Improved delivery note Sustainable and climate friendly 3PL targeted at E-commerce Faster, more reliable and secure deliveries in Europe Better security Source: Svensk Digital Handel 2014 Bo Zetterqvist Digital development needed in freight transport Process improvement Use ICT to make the system more efficient Real-time decision making, footprinting, better digital interaction between stakeholders Service development Use ICT to create new services Digital information enables new business models Infrastructure development Use ICT to interact with infrastructure Location Based Intelligence etc.
  70. 70. Customer controls last mile Faster and better returns Better delivery experience Secure identification on pickup/ delivery Collect-in- store Improved delivery note Sustainable and climate friendly 3PL targeted at E-commerce Faster, more reliable and secure deliveries in Europe Better security Source: Svensk Digital Handel 2014 Bo Zetterqvist Digital development needed in freight transport Process improvement Use ICT to make the system more efficient Real-time decision making, footprinting, better digital interaction between stakeholders Service development Use ICT to create new services Digital information enables new business models Infrastructure development Use ICT to interact with infrastructure Location Based Intelligence etc. The freight industry has work to do…
  71. 71. Even if it hurts.
  72. 72. It’s not business as usual. This is the internet happening to freight transport. There is no ’usual’ anymore. Hello Kitty Darth Vader by JD Hancock on Flickr (CC-BY)
  73. 73. It’s not business as usual. Get used to it. This is the internet happening to freight transport. There is no ’usual’ anymore. Hello Kitty Darth Vader by JD Hancock on Flickr (CC-BY)
  74. 74. MEETING THE FUTURE - UNSOLVED PROBLEMS IN FREIGHT TRANSPORT FROM AN E-COMMERCE PERSPECTIVE Per Olof Arnäs Chalmers University of Technology @Dr_PO per-olof.arnas@chalmers.se about.me/perolofarnas Slides: slideshare.net/poar At the computer by Lars Plougmann on Flickr (CC-BY,SA)

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