cate hull - freightexchange - using big data for supply chain efficiency
TRANSCRIPT
Agenda
Introduction
Demystifying Big Data
So Much Data. So Much Opportunity
So Much Data – An Intermodal Ecosystem
Do Better With Data
Big Data - Artificial Intelligence
About FreightExchange
Demystifying Big Data
• Availability of Large Data Sources• Video• Voice• Sensors
• Efficient Retrieval of Data• Hadoop• NoSQL
• Effective Use of Data• Data Driven Business
Processes• Predictive Analytics• Optimisation
Relative volumes of different s
So Much Data. So Much Opportunity
Machine data (IoT)
Social data (email, txt, voice)
Databases
Unstructured
API’s
Sensors
Business applications
Data warehouses
Opportunity
Used effectively
So Much Data – An Intermodal Ecosystem
• Enterprise Resource Planning (ERP) systems
• Inventory management systems
• Warehousing systems• Freight Management
systems• Customer Relationship
Management systems
• Social data• Economic data• Access card readers• Barcode scanners• Robots
• Customs systems• Economic indicators
• Access card readers• Camera feeds• Sensors, robots
• Transport Management Systems
• ERP’s
• GPS devices• Sensors• Mobile phones• Social networks• Voice recordings• Camera feeds
Find additional sub-contractors
Find or consolidate freight
Sense & Respond Predict & Act
Basic ReportingDashboards
Slice & Dice ToolsData Exploration
Predictive Analytics
Predictive Modelling
Optimisation & Artificial Intelligence
Reporting Exploration & Visualisation Prediction
Do Better With Data
Tool
set/M
etho
dolo
gies
How
use
d
Operations / Management Predict Outcomes Optimise Capacity / Pricing
• Financial reporting, • basic KPI and
performance metric tracking,
• Fraud & Risk • Human Resource
Management, • Sales and Marketing, • Supply Chain
• Predicting supply and demand throughout the to
• Maximise capacity, • Minimise waste, • Ensure appropriate staffing
levels, • Minimise the risks of
losses/delays• Understand price elasticity
• Revenue optimisation (including margin, pricing optimisation)
• Optimise their revenue given numerous segments; predicted supply and demand;
• Routing optimisation • Sales/marketing
optimisation can be used to drive the best outcome for a businesses marketing spend.
Monitor External Environment
• Understand factors that drive volume and margins – economic data, competition etc.
• Predict elasticity of demand at given price points
555 510 465 420 376 331 286
€ 1,642 € 1,694 € 1,714 € 1,702 € 1,656 € 1,578€ 1,467
€ 0€ 200€ 400€ 600€ 800€ 1,000€ 1,200€ 1,400€ 1,600€ 1,800€ 2,000
‐€1.50 ‐€1.00 ‐€0.50 €0.00 €0.50 €1.00 €1.50
‐
100
200
300
400
500
600
700
800
GP (tho
usan
ds)
Price Movements
Volume in th
ousand
Units
GP and Volume impact of price movement
Volume in units GP
Predictive ModelsInternal Economics
Market Forces
Competitors
Optimisation
Effective Use of Data – Examples
Econometric ModelsManagement Tools
FreightExchange creates value for logistics enterprises in peaks & troughs.
Capacity Demand
Find additional sub-contractors
Find or consolidate freight
Frei
ght v
olum
e
Case Study – Data Analytics For Innovation
It’s a Process
1. Ideation
2. Prioritisation
3. Implement
4. Measure