Building the Data Driven Supply Chain
EyeOn inspiration event
Antwerp – February 21st, 2019
Welcome !
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Building the data driven supply chain
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12.00 Welcome & lunch
13.00 Introduction
13.15Transition to the data driven supply chain
Michiel Jansen, Data Science lead at EyeOn
14.30 Break
14.45
Marketplace with innovative data science applications in the field of forecasting, inventory & supply management1. Forecast value add – Koen Koolen, Forecast & Data Science Consultant at EyeOn 2. Supply chain optimization using apps – Francesco Russo, Data Science & Solutions Consultant at EyeOn3. Production wheel – Arthur Nazarian, Data Science & Solutions Consultant at EyeOn
15.45
Interactive session ‘How digitalization will change your company’
Freek Aertsen, Partner at EyeOn
Erik de Vos, Senior Consultant at EyeOn
16.30 Closure and drinks
Consultancy & Implementation
Data Science& Solutions
Forecast Services
Develop & implement tailored planning processes that really work
Improve processes, tools & capabilities
Advance forecasting & planning specialists in their career
Turn data into insights and business value add
Develop & implement analytical models for decision support
Implement fast, innovative and scalable planning solutions
Deliver forecast, inventory optimization and analytics services
with state of the art models
EyeOn – Years Ahead in Planning & Forecasting
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Dedicated team of experts in forecasting techniques, data science & planning solutions
– Innovative supply chain planning solutions– Forecasting & supply chain planning processes & tooling– Advanced analytics, based on big data– Visualization & story telling
– Continuous innovation– Knowledge partnerships– Innovation labs
– Latest technologies– Cloud based planning solutions– Big data analytics– Supply chain simulation & optimization– Data storage
EyeOn DS2 – Data Science & Solutions
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Business Process Outsourcing service
accelerate your business benefits,
while growing planning capability at own pace
Services offered:
– Statistical baseline forecasting
– Promotion forecasting
– New product forecasting
– Advanced inventory optimization
– Analytics on demand
see www.forecastservices.com
Forecast Services
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EyeOn Many different nationalities, one team!
500+ years of combined
experience
12 nationalities
Consultants with different backgrounds: SCM, finance, sales & marketing, data science
89 companies where projects were
delivered in 2018
10 countries where we operated in
2018
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How data driven are supply chains data today ?
Example FMCGDemand Planning benchmark shows limited use of additional data sources ! *
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0 1 2 3 4 5 6 7 8 9 10
Order data
Point of sales - sell out
Point of sales - stock in trade
Consumer review data from the web
Price development of our and competitor products over time
Promotional activities of customers
Weather forecasts
Historical promotion information
Facebook data
Google search behaviour data
Webscraping
Other
Macro economic indicators
Usage of data sources (1 - 10 scale)
* Source : EyeOn Demand Planning Benchmark
But… there is a shift in supply chain thinking*
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Traditional Digital
Project definition Large projects with known outcomes Small projects that evolve
Funding Licensed deployments Cloud deployments
Type of data Structured transactional data Unstructured and structured data
Data characteristics Data with low velocity Data with high velocity
Leadership Led by IT Led by the business
Process focus Inside-out Outside-in
Capabilities Better response Test and learn
Technologies Large, established vendors Small and evolving technology sources
* Supply Chain Insights LLC Copyright © 2015
Next steps ?
Building the data driven supply chain
13
12.00 Welcome & lunch
13.00 Introduction
13.15Transition to the data driven supply chain
Michiel Jansen, Data Science lead at EyeOn
14.30 Break
14.45
Marketplace with innovative data science applications in the field of forecasting, inventory & supply management1. Forecast value add – Koen Koolen, Forecast & Data Science Consultant at EyeOn 2. Supply chain optimization using apps – Francesco Russo, Data Science & Solutions Consultant at EyeOn3. Production wheel – Arthur Nazarian, Data Science & Solutions Consultant at EyeOn
15.45
Interactive session ‘How digitalization will change your company’
Freek Aertsen, Partner at EyeOn
Erik de Vos, Senior Consultant at EyeOn
16.30 Closure and drinks
Building the data driven supply chain
14
12.00 Welcome & lunch
13.00 Introduction
13.15Transition to the data driven supply chain
Michiel Jansen, Data Science lead at EyeOn
14.30 Break
14.45
Marketplace with innovative data science applications in the field of forecasting, inventory & supply management1. Forecast value add – Koen Koolen, Forecast & Data Science Consultant at EyeOn 2. Supply chain optimization using apps – Francesco Russo, Data Science & Solutions Consultant at EyeOn3. Production wheel – Arthur Nazarian, Data Science & Solutions Consultant at EyeOn
15.45
Interactive session ‘How digitalization will change your company’
Freek Aertsen, Partner at EyeOn
Erik de Vos, Senior Consultant at EyeOn
16.30 Closure and drinks
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Forecast value add
Supply Chain optimization using apps
Production wheel
Vancouver 2
Vancouver 1 Hamburg
14:45 – 15:00 Round 1
15:05 – 15:20 Round 2
15:25 – 15:40 Round 3
Marketplace
Building the data driven supply chain
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12.00 Welcome & lunch
13.00 Introduction
13.15Transition to the data driven supply chain
Michiel Jansen, Data Science lead at EyeOn
14.30 Break
14.45
Marketplace with innovative data science applications in the field of forecasting, inventory & supply management1. Forecast value add – Koen Koolen, Forecast & Data Science Consultant at EyeOn 2. Supply chain optimization using apps – Francesco Russo, Data Science & Solutions Consultant at EyeOn3. Production wheel – Arthur Nazarian, Data Science & Solutions Consultant at EyeOn
15.45
Interactive session ‘How digitalization will change your company’
Freek Aertsen, Partner at EyeOn
Erik de Vos, Senior Consultant at EyeOn
16.30 Closure and drinks
How to make it work?
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1. Ask the right questions for your business!
2. Start collecting and storing data as of tomorrow
3. Build strong analytical skills – often centrally organized
4. Embed analytics in business processes & collaborate with all relevant stakeholders
5. Develop fact-based collaboration & communication – planner as orchestrator
Pack with real life data applications will be added to the event summary for your inspiration !
Want to learn more? Get in touch with your EyeOn contact
Calendar upcoming EyeOn events
Date Event Location Industry
May 16th No touch S&OP BNL Breda, NL All
May 21th MDR event BNL Antwerp, BE Medical devices
June 6th Demand management round table BNL Aarle-Rixtel, NL Consumer Products
June 18th APS round table BNL Aarle-Rixtel, NL Consumer Products and Life Science
September Smart planning solutions – Jedox Webinar All
September 7th Fun ! “Cycling, is the new Golfing” edition 3 Oudenaarde, BE All
November 14th Planning Inspiration Day The Netherlands All
Calendar upcoming Industry events
Transforming Chemical Supply Chains - March 19-21 - Krasnapolsky Hotel Amsterdam
Supply Chain Innovation - March 21 - Antwerp Expo
April 9-11 - Music & Convention Center Montreux
IBP Summit – May 16-17. Hilton Barcelona
Digitalised, collaborative, customer-centric SC Congress - May 8-9 – Wicked Grounds Amsterdam
Evaluation
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Q&A
EyeOn bvCroylaan 145735 PC Aarle-RixtelThe NetherlandsT +31 492 38 88 [email protected]
EyeOn AmsterdamHerengracht 124-1281015 BT AmsterdamThe NetherlandsT +31 492 38 88 [email protected]
EyeOn Belgium BVBADe Keyserlei 58-60 B19 B-2018 AntwerpBelgiumT +32 (0)3 304 95 [email protected]
EyeOn SolutionsCroylaan 145735 PC Aarle-RixtelThe NetherlandsT +31 492 38 88 [email protected]
EyeOn Forecast ServicesCroylaan 145735 PC Aarle-RixtelThe NetherlandsT +31 492 38 88 [email protected]
EyeOn SwitzerlandQuai de l’Ile 13CH-1204 GenevaSwitzerlandTel.: +41 (0)61 225 [email protected]
EyeOn
25 22 February 2019
Today’s world
Portfolio more complex than ever
Volatile customer demand
Growing pressure on price & margins
War on talent
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Changing regulatory environment
Rapidly changing IT & Technology landscape
Orchestrate
Realize predictive business in a volatile market
Sense Plan Shape
Prescriptive
HOW?
"The important thing is not to stop questioning.
Curiosity has its own reason for existing."
Store that data!
Make the change
Build skills and enjoy!
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Collaborate
Agile – Fast response
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Response fast, just start!
39 22 February 2019
Real life cases
Data sharing “in the cloud” to control supply chains from head to tail
Cloud as chain enabler
Cloud solution with following functionalities:• Web portal with write access to
cloud database• Cloud database connected online
reporting environment• Scheduled automated data refresh• User-based view permissions
Information sharing in value chain
Change the storytelling game!
Alerts before issues arise
From a need for a data sharing tool to a cloud-based design to create insights for business
Tool solution
Extract the real business driver signals and use them in planning!
Decompose the signal Balance models & business intelligence
Use different signals:- Baseline- Promotions- Product introductions & phase out’s- Seasonality
Look at process timings
Analyse drivers and forecast value add
Modelling as starting pointProcess designed around
“who knows better”
Market driver based forecasting
Driver Based Forecasting
Regression Models use explanatory variables to forecast another variable, e.g. future demand
Advantages:
• Insight into relations & dependencies
• Allows what-if scenario’s
• Can exploit leading indicators
Application in planning
Create a reliable long term forecast at aggregated level in an volatile market environment
Quantifies Market Experience
Market Driver Based Forecasting use leading indicators to model the impact to demand
Reveal the drivers behind promotional sales to enable a more accurate promotion forecast and a better marketing mix
Revenue management
Shape demand and “get the actualsright!”
LASSO offers a balancing act
Too few parameters results in lack of granularity and very rough results
Too many parameters results in overfitting: the model follows the history too well to predict the
future
Promo forecasting using regression requires a selection in suitable forecasting parameters
Application in planning
Select parameters with the most influence on sales during a promotion.
Examples:• Display type in the store• Price mechanism of the promo• Relation to holiday (X-mas, Easter)
• Web scraping methods• Sensing sentiments• Ratings and reviews
• Analysis to prepare scenario • Combining data sources
Point of Sale data
From reactive planning to pro-active demand shaping via demand sensing
OBJECTIVE
• Shaping of demand
• Distribution adjustment
• Promo adjustment
Business decisionInternal analysis collaboration
Integral visibility and combining different data sources
Freely available dataFast launch analysis
• Shape demand• Optimize margin
Sensing
Organise who should do what?
Focus on relevant adjustments only Different skills
Design the different roles, “the man of all crafts” doesn’t exist
Data scientist• Advanced
analytics, mathematics, machine learning
• Data fishing expeditions
• Curios and very analytical role
Business analyst• Within teams
supporting reporting needs, should be Visualization proficient
• Combine IT, analytics and domain knowledge.
• Functional reporting into data value team
Data engineer• Connecting data
sources• Data governance• Quality and control
roleArchitect
Build a data driven culture
Analytical skills and conceptual thinking, experience with structured problem solvingManaging large data sets
VSChallenge numbers at different
aggregation levels
Business / market knowledge
Communication skills
Want to learn more?
Visit us at www.eyeon.nl or www.forecastservices.com
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Effective process design Planning excellence Accelerated improvement
– White Papers – Masterclasses
– Benchmark
– Forecast scan
– Inventory Management scan