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digital transformation
in logistics
Leonardo Marins
Deployment Lead Marketing Transformation Programme
Former Global Logistic Development Lead
British American Tobacco
Christophe Kerhoas
Global Logistics Performance Manager
Former Head of Supply Chain
British American Tobacco
Disclaimer: The views expressed and materials presented represent the personal views of the authors and
should not be taken to represent the opinions, policy, or views of British American Tobacco.
Copyright: All rights reserved. This material may not be published, broadcast, rewritten or redistributed in
whole or part with out the express written permission.
Contact leonardo_marins@bat.com or christophe_kerhoas@bat.com
The digital world is disrupting the industry and moving Logistics to
forefront of business strategy enhancing consumer experience [1] [2].
Apple, Amazon, Ocado, IKEA... have pushed the bar higher.
[1] https://www.gartner.com/doc/3847509/logistics-revolution-navigating-route-ahead
[2] https://www.mckinsey.com/business-functions/operations/our-insights/digital-transformation-raising-supply-chain-performance-to-new-levels
Big Data, Analytics,
AR/VR/MR, IoT,
Robotics, AI, Digital
Biology:
collectively, these
technologies promise to
transform business
operations, raising quality,
unleashing new levels of
flexibility and boosting
productivity [3].
[3] https://www.mckinsey.com/business-functions/operations/our-insights/operations-blog/ops-40-the-human-factor-recognizing-the-capability-challenge
Therefore, this is not
simple for big companies
not born digital. We urge
for a new set of
professional, consumer
driven, techie/digital,
passionate, bold enough to
break status quo
http://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/culture-for-a-
digital-age
• Let’s cover how Design Thinking can help understand the problem to
leverage the team capabilities, to become more consumer driven,
techie/digital, passionate, bold enough to break status quo.
• Get insights on a simple digital transformation framework in
Logistics – foundation, integration, collaboration – to avoid the team getting
lost, bombed by tech buzzwords, without clear direction, it helps organise the
ideas into projects and connect with IT.
• Share experience deploying Global Analytics for Logistics, taking
advantage of global operation, setting key metrics, blending data with partners,
fixing data issues, using pilot markets to build cases before deploying globally.
WELCOME
Let’s cover how
Design Thinking
can help understand the problem to leverage
the team capabilities, to become more
consumer driven, techie/digital, passionate,
bold enough to break status quo.
Design Thinking
exercise made by 6
students of Stanford
Business School,
course LEAD for
Corporate
Innovation.
Focus on use of
digital technology
for Supply Chain
and Logistics
Larry start his career in Logistics when 18, he
is now 38 and believe Logistics is not a
stressful business.
Logistics are “old” guys, vast majority male,
some grumpy, they carry a paper agenda,
they take notes in the paper, they believe
digital is a new Casio watch.
Here is Larry!Look!!!
They lost my
container
again
Larry doesn’t know how powerful is his smartphone
Trello, Planner, Slack, Keep, Microsoft Teams, Cloud,
SharePoint, WhatsApp...
Excel is Larry’s guru.
Larry believe Cloud is to store files like in Drive C/:
he keeps creating version with different names v1, v2
he attach files in email to share
he doesn’t trust people can update the document together
Larry loves excel, emails, attachments
Why Not?
Larry mindset is ‘incremental’ not ‘exponential’
10% versus 10x approach
https://hbr.org/2016/07/how-to-create-an-exponential-mindset https://singularityhub.com/2016/04/05/how-to-think-exponentially-and-better-predict-the-
future/#sm.000v646wx12nscocscl1wrmb89yrh
WELCOME
Get insights on a simple
digital transformation
framework for Logistics
– foundation, integration, collaboration – to avoid the
team getting lost, bombed by tech buzzwords, without
clear direction, it helps organise the ideas into projects
and connect with IT.
1. foundations
control over inventory availability
and inventory efficiency, supported
by data integrity with in and out
process controls measures
2. integration
event tracking
smart sensor, smart devices, robotics, drones, 3D
printers, automation, virtual/augmented reality…IoT.
decision flow
blockchain, AI and RPA
performance
analytics, predictive analysis, prescriptive analysis,
root cause analysis
3. collaboration
all parts connected, synchronised,
enabling joined decisions supported
by a shared platform with
tracking visibility at the full supply
chain
digital
1. foundations
control over inventory availability
and inventory efficiency, supported
by data integrity with in and out
process controls measures
Inventory
Availability
the ability to delivery on time in
full at the right cost
Inventory Efficiency
the ability to manage right level
of inventory at right place
Data Integrity
mechanisms to improve data
accuracy and completeness
• look at technologies available, build a portfolio of trials
• start with small initiatives, scalable, replicable, let them experiment
• be open to co-work with start ups
• should I stick a sensor in my pallet or let the carrier/LLP do the tracking?
• ability to share real-time data? do I need real-time? if I need what I do with?
• smart glasses at warehouse picking? no we are not that complex
• image recognition? I like it
• will drone succeed in last mile urban area? do I need a drone to run inventory count?
• self-drive vehicle? up to carriers
• decision in process, not post-mortem examination
• based on events or predictive analysis, generate alerts or automate
basic decisions
• risk management, missing OTIF, shortage, out of stock, take decision before it happens
• software companies versus logistics companies
• ETA for your containers flow?
• how to gain confidence on automated decisions?
container temperature
weather condition
strike
• this is a revolution, start now, even with your crappy data
• be careful, it expose inefficiency
• core metrics first, OTIF, premium freight, vehicle fill rate, cost, carrier usage, vehicle type
• enabling root cause analysis operated locally
blending data
dashboards
mobile
Carriersmanufacturer
logistics
companies
vs
software
companies
carriers
commercial relationship
freight price
transport demand transport management
connected with several carriers
expertise, transport system, scale
long term contract based on service
level and gain share
transport executionaudit, billing
sharing
economy
sharing transport
sharing warehouse
(fulfilment centers)
sharing labour
software companies vs
logistics companies
were born digital
artificial intelligence
predictive/prescriptive analysis
automated decisions
recruit right, combine
business and IT profile
stop fighting IT vs Businessstart ups are different
• build a portfolio of projects, start small think big
• learn fast via experimentation, accept fail
• do, because is the right thing to do, wait for accurate business case may be too late
Share experience deploying
Global Analytics for Logistics,
taking advantage of global operation, setting key
metrics, blending data with partners, fixing data
issues, using pilot markets to build cases before
deploying globally.
Agree on
Global metrics
Run Pilot with
EMs
Sign-off
reports
Roll out
Globally
Metrics
Pilot EMs
Agree on
Global
metrics
Run Pilot
with EMs
Sign-off
reports
Roll out
Globally
Agree on
Global
metrics
Run Pilot
with EMs
Sign-off
reports
Roll out
Globally
Agree on
Global
metrics
Run Pilot
with EMs
Sign-off
reports
Roll out
Globally
Agree on
Global
metrics
Run Pilot
with EMs
Sign-off
reports
Roll out
Globally
Start small with Quick & Easy win(s)
Engage and Include End Users
Roll out – One voice of the truth
Automatize reports
digital transformation
in logistics
Leonardo Marins
Deployment Lead Marketing Transformation Programme
Former Global Logistic Development Lead
British American Tobacco
Christophe Kerhoas
Global Logistics Performance Manager
Former Head of Supply Chain
British American Tobacco

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Digital transformation framework for logistics

  • 1. digital transformation in logistics Leonardo Marins Deployment Lead Marketing Transformation Programme Former Global Logistic Development Lead British American Tobacco Christophe Kerhoas Global Logistics Performance Manager Former Head of Supply Chain British American Tobacco
  • 2. Disclaimer: The views expressed and materials presented represent the personal views of the authors and should not be taken to represent the opinions, policy, or views of British American Tobacco. Copyright: All rights reserved. This material may not be published, broadcast, rewritten or redistributed in whole or part with out the express written permission. Contact leonardo_marins@bat.com or christophe_kerhoas@bat.com
  • 3. The digital world is disrupting the industry and moving Logistics to forefront of business strategy enhancing consumer experience [1] [2]. Apple, Amazon, Ocado, IKEA... have pushed the bar higher. [1] https://www.gartner.com/doc/3847509/logistics-revolution-navigating-route-ahead [2] https://www.mckinsey.com/business-functions/operations/our-insights/digital-transformation-raising-supply-chain-performance-to-new-levels
  • 4. Big Data, Analytics, AR/VR/MR, IoT, Robotics, AI, Digital Biology: collectively, these technologies promise to transform business operations, raising quality, unleashing new levels of flexibility and boosting productivity [3]. [3] https://www.mckinsey.com/business-functions/operations/our-insights/operations-blog/ops-40-the-human-factor-recognizing-the-capability-challenge
  • 5. Therefore, this is not simple for big companies not born digital. We urge for a new set of professional, consumer driven, techie/digital, passionate, bold enough to break status quo http://www.mckinsey.com/business-functions/digital-mckinsey/our-insights/culture-for-a- digital-age
  • 6. • Let’s cover how Design Thinking can help understand the problem to leverage the team capabilities, to become more consumer driven, techie/digital, passionate, bold enough to break status quo. • Get insights on a simple digital transformation framework in Logistics – foundation, integration, collaboration – to avoid the team getting lost, bombed by tech buzzwords, without clear direction, it helps organise the ideas into projects and connect with IT. • Share experience deploying Global Analytics for Logistics, taking advantage of global operation, setting key metrics, blending data with partners, fixing data issues, using pilot markets to build cases before deploying globally.
  • 7. WELCOME Let’s cover how Design Thinking can help understand the problem to leverage the team capabilities, to become more consumer driven, techie/digital, passionate, bold enough to break status quo.
  • 8. Design Thinking exercise made by 6 students of Stanford Business School, course LEAD for Corporate Innovation. Focus on use of digital technology for Supply Chain and Logistics
  • 9. Larry start his career in Logistics when 18, he is now 38 and believe Logistics is not a stressful business. Logistics are “old” guys, vast majority male, some grumpy, they carry a paper agenda, they take notes in the paper, they believe digital is a new Casio watch. Here is Larry!Look!!! They lost my container again
  • 10. Larry doesn’t know how powerful is his smartphone Trello, Planner, Slack, Keep, Microsoft Teams, Cloud, SharePoint, WhatsApp... Excel is Larry’s guru. Larry believe Cloud is to store files like in Drive C/: he keeps creating version with different names v1, v2 he attach files in email to share he doesn’t trust people can update the document together Larry loves excel, emails, attachments Why Not?
  • 11. Larry mindset is ‘incremental’ not ‘exponential’ 10% versus 10x approach https://hbr.org/2016/07/how-to-create-an-exponential-mindset https://singularityhub.com/2016/04/05/how-to-think-exponentially-and-better-predict-the- future/#sm.000v646wx12nscocscl1wrmb89yrh
  • 12. WELCOME Get insights on a simple digital transformation framework for Logistics – foundation, integration, collaboration – to avoid the team getting lost, bombed by tech buzzwords, without clear direction, it helps organise the ideas into projects and connect with IT.
  • 13. 1. foundations control over inventory availability and inventory efficiency, supported by data integrity with in and out process controls measures 2. integration event tracking smart sensor, smart devices, robotics, drones, 3D printers, automation, virtual/augmented reality…IoT. decision flow blockchain, AI and RPA performance analytics, predictive analysis, prescriptive analysis, root cause analysis 3. collaboration all parts connected, synchronised, enabling joined decisions supported by a shared platform with tracking visibility at the full supply chain digital
  • 14. 1. foundations control over inventory availability and inventory efficiency, supported by data integrity with in and out process controls measures Inventory Availability the ability to delivery on time in full at the right cost Inventory Efficiency the ability to manage right level of inventory at right place Data Integrity mechanisms to improve data accuracy and completeness
  • 15. • look at technologies available, build a portfolio of trials • start with small initiatives, scalable, replicable, let them experiment • be open to co-work with start ups • should I stick a sensor in my pallet or let the carrier/LLP do the tracking? • ability to share real-time data? do I need real-time? if I need what I do with? • smart glasses at warehouse picking? no we are not that complex • image recognition? I like it • will drone succeed in last mile urban area? do I need a drone to run inventory count? • self-drive vehicle? up to carriers
  • 16. • decision in process, not post-mortem examination • based on events or predictive analysis, generate alerts or automate basic decisions • risk management, missing OTIF, shortage, out of stock, take decision before it happens • software companies versus logistics companies • ETA for your containers flow? • how to gain confidence on automated decisions? container temperature weather condition strike
  • 17. • this is a revolution, start now, even with your crappy data • be careful, it expose inefficiency • core metrics first, OTIF, premium freight, vehicle fill rate, cost, carrier usage, vehicle type • enabling root cause analysis operated locally blending data dashboards mobile
  • 18. Carriersmanufacturer logistics companies vs software companies carriers commercial relationship freight price transport demand transport management connected with several carriers expertise, transport system, scale long term contract based on service level and gain share transport executionaudit, billing sharing economy sharing transport sharing warehouse (fulfilment centers) sharing labour software companies vs logistics companies were born digital artificial intelligence predictive/prescriptive analysis automated decisions
  • 19. recruit right, combine business and IT profile stop fighting IT vs Businessstart ups are different • build a portfolio of projects, start small think big • learn fast via experimentation, accept fail • do, because is the right thing to do, wait for accurate business case may be too late
  • 20. Share experience deploying Global Analytics for Logistics, taking advantage of global operation, setting key metrics, blending data with partners, fixing data issues, using pilot markets to build cases before deploying globally.
  • 21.
  • 22. Agree on Global metrics Run Pilot with EMs Sign-off reports Roll out Globally
  • 23. Metrics Pilot EMs Agree on Global metrics Run Pilot with EMs Sign-off reports Roll out Globally
  • 24. Agree on Global metrics Run Pilot with EMs Sign-off reports Roll out Globally
  • 25. Agree on Global metrics Run Pilot with EMs Sign-off reports Roll out Globally
  • 26. Agree on Global metrics Run Pilot with EMs Sign-off reports Roll out Globally
  • 27. Start small with Quick & Easy win(s) Engage and Include End Users Roll out – One voice of the truth Automatize reports
  • 28. digital transformation in logistics Leonardo Marins Deployment Lead Marketing Transformation Programme Former Global Logistic Development Lead British American Tobacco Christophe Kerhoas Global Logistics Performance Manager Former Head of Supply Chain British American Tobacco