Empowering Logistics with Intelligence

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1 Empowering Logistics with Intelligence Logit One NV - Frank Knoors, Managing Director ILiM / GS1 Poland Marcin Hajdul

2 Adding Intelligence to Visibility data GS1 Transport & Logistics Workshop October 2015, Warsaw, Poland Document: Logit One NV - GS1 (131015) E3.pptx Version: E3 Date:

3 Empowering Logistics with Intelligence SaaS (Softwareas-a-Service) Combining logistics, business process & IT expertise Mission Enable logistics actors (shippers, forwarders, carriers, ports & terminals, beneficial cargo owners) to implement easy-to-use: End-to-end logistics planning & visibility Vertical & horizontal collaboration Sharing of information within supply chains Logit One Company introduction

4 Data sourcing & sharing consolidated for intelligence to iden7fy disrup7ons & inefficiencies Big data for logistics predic7ve capabili7es for value added services Services platform for planning & execu7on of mul7-modal logis7cs processes Bundling, intermodal & reuse where individual companies are too small to achieve it by themselves Rerouting & rescheduling dynamic & in-transit to provide high levels of resilience Logit One Playing field 4

5 / EU FP7 project on Mobilizing Freight Data, see / Launching end-to-end supply chain visibility, see / Launching synchro-modal hinterland management, see Adding Intelligence to Visibility data Experiences gained 5

6 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 The starting point for action is reliable information 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 Adding Intelligence to Visibility data Objectives: Be proactive based on reliable & complete information 6

7 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 Adding Intelligence to Visibility data Objectives: Be proactive based on reliable & complete information 7

8 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 Stop thinking in isolated compartments 5. Less container moves and shorter dwell & waiting times 6. Modal split improvement towards sustainability 7. Competitive port positioning through more performant hinterland links Adding Intelligence to Visibility data Objectives: Make optimal use of transport resources 8

9 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 Adding Intelligence to Visibility data Objectives: Make optimal use of transport resources 9

10 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 Adding Intelligence to Visibility data From Business Data to Business Intelligence 10

11 Create situational awareness for ocean freight to improve operational control enhance general service levels towards customers Adding Intelligence to Visibility data Client wants to improve ability to identify & react to deviations 11

12 Forwarders orchestrate many actors along the supply chain which means information needs to be standardized Adding Intelligence to Visibility data Use data on transport units, transport means & services 12

13 .. and consolidated to achieve more reliable and complete information for situational awareness. Adding Intelligence to Visibility data Create intelligence by interpreting & validating raw data 13

14 A single service supports pro-active control towers to avoid (or mitigate impact of) supply chain disruptions... Adding Intelligence to Visibility data Dashboard to drill-down, forecast & address conflicts of data 14

15 ... easy access to end-to-end transport options, empty containers, and dynamic planning of hinterland operations Adding Intelligence to Visibility data Hinterland community solution to support shippers, forwarders & operators 15

16 These efreight Common Framework interfaces are being included as standardized electronic documents in the ISO/IEC FDIS 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 16

17 Create business intelligence by data consolidation Business rules lead to unambiguous conclusions Assess knock-on effects through forecasting Transport request Multiple integrated data sources Transport services Operator websites Tracking devices Event Event Event Business rules Data conflict Conclusion Conclusion Plan logistics chains & networks Process shipment status & forecast Subscriptions Alerts Alerts Alerts Transport orders Case study: End-to-end supply chain visibility services platform DHL Global Forwarding, large shippers 17

18 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 Case study: End-to-end supply chain visibility services platform DHL Global Forwarding, large shippers 18

19 Ocean carriers Commercial release Customs authorities Discharge confiirmation Customs release Terminal operators Green light integra,on Service offerings Transport request (Direct) shipper Forwarder Customer portal Plan approval End-to-end visibility CBP Planner Synchromodal planning & execution platform Service booking Service status Provider portal Transport operators CBP Plan logistics chains based on horizontal collaboration Container reuse request Ocean carriers Empty containers in depot Container depots Facilitate in-transit management of disruptions Container reuse Case study: Hinterland management services platform Antwerp Freight Forwarders' Association, Port of Antwerp

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

21 Management of terminal opera7ons Transport management of rail opera7ons Large portion of hinterland transport by road (Antwerp: 56%) Transport management of barge opera7ons EPCIS Transport management of road opera7ons Services plarorm for planning execu7ng - monitoring mul7-modal logis7cs 30-40% of transported containers are empty efreight Framework (ISO/IEC 19845) GS1 keys (SSCC, GINC, GSIN, GLN) Last mile processor Trucks are on average half empty A glimpse of the future: Building blocks Towards reliable & efficient logistics 21

22 Flanders Poland ef GS1 ef GS1 ef GS1 efreight Framework GS1 keys EPCIS BEANR Antwerp Community plarorm A efreight Framework GS1 keys Community plarorm B Last mile processor FND EPCIS ef GS1 ef GS1 ef GS1 A glimpse of the future: Federation of communities + interoperability of services Towards reliable & efficient logistics 22

23 Services plarorm for planning execu7ng - monitoring mul7-modal logis7cs EPCIS (Shipper) EPCIS (Exp. Forwarder) EPCIS (Ocean Carrier) EPCIS (Imp. Forwarder) EPCIS (Consignee) Event AggregaAon Gate in Gate out Tagging Gate in Loading Unloading DisaggregaAon Gate in Factory Warehouse Road Container Terminal Ocean Container Road Warehouse Consignee Terminal Tag printer Procedure Customs Clearance Customs Clearance A glimpse of the future: Sharing events in real time Towards reliable & efficient logistics

24 Services plarorm for planning execu7ng - monitoring mul7-modal logis7cs... shared with authorized parties EPCIS Repositories... enriched by consolidated data Query & Response Receiver Freight forwarder Query & Response Shipper Query & Response Transport Operator Which container holds this shipment? Where is the container holding this shipment? Which pallets have been loaded? Where are the goods I ordered Query & Response A glimpse of the future: Sharing events in real time + enriching data Towards reliable & efficient logistics

25 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 Logit One Unique added values 25

26 Any other questions or comments? Please contact us! Frank Knoors Managing Director E T M

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