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Empowering Logistics with Intelligence www.logit-one.com Logit One NV - Frank Knoors, Managing Director ILiM / GS1 Poland – Marcin Hajdul

Transcript of Empowering Logistics with Intelligence - GS1 | The Global ... · Empowering Logistics with ... Big...

Empowering Logistics with Intelligence™

www.logit-one.com

Logit One NV - Frank Knoors, Managing Director

ILiM / GS1 Poland – Marcin Hajdul

www.logit-one.com

Adding Intelligence to Visibility data GS1 Transport & Logistics Workshop 12-13 October 2015, Warsaw, Poland

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Document: Logit One NV - GS1 (131015) – E3.pptx Version: E3 Date: 12-10-2015

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Mission

Enable logistics actors (shippers, forwarders, carriers,

ports & terminals, beneficial cargo owners)

to implement easy-to-use:

Logit One Company introduction

SaaS (Software-as-a-Service)

Combining

logistics, business process &

IT expertise

End-to-end logistics planning & visibility

Empowering Logistics with Intelligence™

Vertical & horizontal collaboration

Sharing of information within supply chains

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Logit One Playing field

Bundling, intermodal & reuse whereindividualcompaniesaretoosmalltoachieveitbythemselves

Data sourcing & sharing consolidatedforintelligence

toiden7fydisrup7ons&inefficiencies

Big data for logisticspredic7vecapabili7esforvalueaddedservices

Rerouting & rescheduling dynamic&in-transit

toprovidehighlevelsofresilience

Services platform forplanning&execu7on

ofmul7-modallogis7csprocesses

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Adding Intelligence to Visibility data Experiences gained

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2013-15 / Launching end-to-end supply chain visibility, see http://logit-one.com/playing-field/situational-awareness-in-global-forwarding

2014-15 / Launching synchro-modal hinterland management, see http://logit-one.com/playing-field/port-flow-control-and-hinterland-access

2011-13 / EU FP7 project on Mobilizing Freight Data, see http://www.comcis.eu/

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Adding Intelligence to Visibility data Objectives: Be proactive based on reliable & complete information

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A. Solve the “Black Box” effect •  End-to-end logistics chains have multiple actors & synchronization points •  Even in case of transshipments within mode, the link "container / transport means" gets lost B. Provide consistent data •  There are many proprietary container-tracking mechanisms, each with its own interface •  Multiple data sources sometimes provide contradictory or incomplete information •  Reduce uncertainty + impact on operational costs & service quality

C. Be proactive •  Calculate knock-on effects of process disruptions & delays •  Accurately predict when shipments will arrive

The starting point for action is reliable information

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Adding Intelligence to Visibility data Objectives: Be proactive based on reliable & complete information

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A. Solve the “Black Box” effect •  End-to-end logistics chains have multiple actors & synchronization points •  Even in case of transshipments within mode, the link "container / transport means" gets lost B. Provide consistent data •  There are many proprietary container-tracking mechanisms, each with its own interface •  Multiple data sources sometimes provide contradictory or incomplete information •  Reduce uncertainty + impact on operational costs & service quality

C. Be proactive •  Calculate knock-on effects of process disruptions & delays •  Accurately predict when shipments will arrive

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Adding Intelligence to Visibility data Objectives: Make optimal use of transport resources

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1.  Bundled transport volumes towards horizontal collaboration

2.  Deploy intermodal expertise for better usage of rails & barge transportation

3.  Re-use of empty containers for avoiding transportation of 'empty' kilometers

4.  Better balancing of the hinterland network

5.  Less container moves and shorter dwell & waiting times

6.  Modal split improvement towards sustainability

7.  Competitive port positioning through more performant hinterland links

Stop thinking in isolated compartments

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Adding Intelligence to Visibility data Objectives: Make optimal use of transport resources

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1.  Bundled transport volumes towards horizontal collaboration

2.  Deploy intermodal expertise for better usage of rails & barge transportation

3.  Re-use of empty containers for avoiding transportation of 'empty' kilometers

4.  Better balancing of the hinterland network

5.  Less container moves and shorter dwell & waiting times

6.  Modal split improvement towards sustainability

7.  Competitive port positioning through more performant hinterland links

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Adding Intelligence to Visibility data From Business Data to Business Intelligence

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Information from:

loading units transport means

transport services transshipment nodes available capacities transport demand

needs to be bundled & processed

to translate raw data into business intelligence

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Adding Intelligence to Visibility data Client wants to improve ability to identify & react to deviations

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Create situational awareness for ocean freight to •  improve operational control • enhance general service levels towards customers

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Adding Intelligence to Visibility data Use data on transport units, transport means & services

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Forwarders orchestrate many actors along the supply chain which means information needs to be standardized

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Adding Intelligence to Visibility data Create intelligence by interpreting & validating raw data

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.. and consolidated to achieve more reliable and complete information for situational awareness.

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Adding Intelligence to Visibility data Dashboard to drill-down, forecast & address conflicts of data

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A single service supports pro-active control towers to avoid (or mitigate impact of) supply chain disruptions ...

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Adding Intelligence to Visibility data Hinterland community solution to support shippers, forwarders & operators

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... easy access to end-to-end transport options, empty containers, and dynamic planning of hinterland operations

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These eFreight Common Framework interfaces are being included as standardized electronic documents in the ISO/IEC FDIS 19845 standard. Incorporates requirements from: •  WCO data model •  Multimodal framework ARKTRANS •  Requirements from all types of stakeholders •  Harmonised with LIM from GS1 •  ITIGG (Int'l Transport Impl. Guidelines Group) •  Guide to UN/EDIFACT containers messages •  Ports of Singapore and Hong Kong •  US Dept. of Transport •  UN/CEFACT

Intermezzo: How does it work? Building workflows from transport services

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Case study: End-to-end supply chain visibility services platform DHL Global Forwarding, large shippers

Create business intelligence by data consolidation Business rules lead to unambiguous conclusions Assess knock-on effects through forecasting

Event

Event

Event

Transport services

Operator websites

Tracking devices

Mul

tiple

inte

grat

ed d

ata

sour

ces

Plan logistics chains & networks Process shipment status & forecast

Transport request

Transport orders

Conclusion

Conclusion

Data conflict

Business rules

Alerts

Alerts

Alerts

Subscriptions

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Case study: End-to-end supply chain visibility services platform DHL Global Forwarding, large shippers

Testimonial: Adding intelligence to visibility data delivers ...

... full end-to-end visibility from place of loading till final delivery including all involved logistics partners and their connected sources [based on] consolidated real time & reliable data ... ... intelligent data consolidation from multiple external and internal sources, which needs to be standardized and interpreted - to reach reliable conclusions and create situational awareness ... ... raise standard services to enhanced levels in order to being able to deal with the special requirements and concerns of strategic customers ... Source: DHL Global Forwarding, APCS Seminar on Supply Chain Visibility, Antwerp, 7th Nov 2013

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Ocean carriers

Commercial release

Terminal operators

Discharge confiirmation Customs release

Greenlightintegra,on

Customs authorities

Case study: Hinterland management services platform Antwerp Freight Forwarders' Association, Port of Antwerp

Ocean carriers Container depots

Empty containers in depot

Container reuse request

Containerreuse

Service offerings

Service booking

Service status

Transport request

Plan approval

(Direct) shipper Forwarder

Transport operators

Synchromodal planning & execution

platform

Customer portal

Provider portal

CBP

CBP Planner

Plan logistics chains based on horizontal

collaboration

Facilitate in-transit management of

disruptions

End-to-end visibility

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Case study: Hinterland management services platform Antwerp Freight Forwarders' Association, Port of Antwerp

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A glimpse of the future: Building blocks

Towards reliable & efficient logistics

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Transportmanagementofroadopera7ons

Transportmanagementofrailopera7ons

Transportmanagementofbargeopera7ons

Managementofterminalopera7ons

EPCIS

eFreightFramework

(ISO/IEC19845)

GS1keys(SSCC,GINC,GSIN,GLN)

ServicesplaRormforplanning–execu7ng-monitoring

mul7-modallogis7cs

Large portion of hinterland transport by road (Antwerp: 56%)

30-40% of transported containers are empty

Lastmileprocessor

Trucks are on average half empty

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Flanders

CommunityplaRormA

eFGS1

eFGS1

eFGS1

BEANRAntwerp

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A glimpse of the future: Federation of communities + interoperability of services

Towards reliable & efficient logistics

Poland

CommunityplaRormB

eFreightFramework

GS1keys

EPCIS

eFGS1

Lastmileprocessor

eFreightFramework

GS1keys

EPCIS

eFGS1

eFGS1

FND

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Factory

Tag printer

Warehouse

Procedure

Road Road Container Terminal

Ocean Warehouse Consignee

Customs Clearance

Container Terminal

Customs Clearance

Event

EPCIS(OceanCarrier)

EPCIS(Shipper)

EPCIS(Imp.Forwarder)EPCIS(Exp.Forwarder)EPCIS(Consignee)

Tagging

AggregaAon

Gatein

Gatein

Loading Gatein

Gateout

UnloadingDisaggregaAon

A glimpse of the future: Sharing events in real time Towards reliable & efficient logistics

ServicesplaRormforplanning–execu7ng-monitoring

mul7-modallogis7cs

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A glimpse of the future: Sharing events in real time + enriching data Towards reliable & efficient logistics

Query&Response

EPCIS Repositories

Receiver Freight forwarder

Shipper TransportOperator

“Which container holds this shipment?”

“Where are the goods I ordered” “Which pallets have been loaded?” “Where is the container holding this shipment? “

... shared with authorized

parties

ServicesplaRormforplanning–execu7ng-monitoring

mul7-modallogis7cs

... enriched by consolidated

data

Query&Response

Query&Response

Query&Response

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Logit One Unique added values

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Empowering Logistics with Intelligence™ One service to plan and follow up multi modal logistics operations Transform SC wide data into reliable and complete information Create situational awareness to support operational decisions Achieve true visibility and in-transit deviation management & optimisation Reduce impact of supply chain disruptions and optimal use of resources

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Any other questions or comments? Please contact us!

Frank Knoors Managing Director E [email protected] T +32 14 570 604 M +32 475 722 056

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