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

Big Data - Artificial Intelligence

FreightExchange creates value for logistics enterprises in peaks & troughs.

Capacity Demand

Find additional sub-contractors

Find or consolidate freight

Frei

ght v

olum

e

The Product – In Progress

Instant Bookings

Dashboards, Optimisation and Analytics

Case Study – Data Analytics For Innovation

It’s a Process

1. Ideation

2. Prioritisation

3. Implement

4. Measure

Case Study – Data Analytics for Innovation