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TRANSLATING DATA INTO ACTION … FOR LOGISTICS How we refine raw weather and hazard data for the supply chain

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Page 1: TRANSLATING DATA INTO ACTION … FOR LOGISTICS › grandchallenge › sites › default › ...TRANSLATING DATA INTO ACTION … FOR LOGISTICS How we refine raw weather and hazard data

TRANSLATING DATA INTO ACTION … FOR LOGISTICS

How we refine raw weather and hazard data for the supply chain

Page 2: TRANSLATING DATA INTO ACTION … FOR LOGISTICS › grandchallenge › sites › default › ...TRANSLATING DATA INTO ACTION … FOR LOGISTICS How we refine raw weather and hazard data

Seasonal Shifts Difficult to predict, pervasive, costly

Extreme Events Impossible to anticipate, hard to adapt

The supply chain remains full of climate-driven challenges

Synchronizing Commerce & Climate

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Page 3: TRANSLATING DATA INTO ACTION … FOR LOGISTICS › grandchallenge › sites › default › ...TRANSLATING DATA INTO ACTION … FOR LOGISTICS How we refine raw weather and hazard data

Transportation and logistics suffer greatly due to poorly managed supply and demand risks which lead to:

๏ Lost Sales

๏ Broken Promises to Customers

๏ Excessive Freight Costs

๏ Damaged Cargo

These pains and missed opportunities are avoidable when data is refined and made relevant.

Where’s the immediate opportunity?

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Page 4: TRANSLATING DATA INTO ACTION … FOR LOGISTICS › grandchallenge › sites › default › ...TRANSLATING DATA INTO ACTION … FOR LOGISTICS How we refine raw weather and hazard data

How: Data Is The New (Crude) Oil

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We refine raw weather and hazard data to deliver advanced supply chain intelligence to our customers

Weather & Hazard (Raw) Data, Models, Observations

Logistics-hardware (smart & simple)

ENVIRONMENTAL & HARDWARE DATA

Food & Beverage Manufacturers

Carriers & Rail Lines

CUSTOMER SEGMENTS

Intermediaries (Brokers) & Markets (Load Boards)

OIL

FIE

LD

Customer-specific Vulnerabilities & Tolerances

RISK TAXONOMY & PROFILES

REFI

NER

Y Asset Locations, Transportation Lanes, Shipments

SUPPLY CHAIN DATA

Numerical Score (1 - 25) Per Asset, Lane (Mile-by-Mile), or Shipment

RISK SCORING

INTE

LLIG

ENCE

Supply & Demand RiskNetwork (Upstream &

Downstream) Risk

DATA PRODUCTS

(My) Enterprise Risk

Interactions

Shipment-level Timing, Equipment, Route Selection

Network Analytics Recommendations End User Analytics

Page 5: TRANSLATING DATA INTO ACTION … FOR LOGISTICS › grandchallenge › sites › default › ...TRANSLATING DATA INTO ACTION … FOR LOGISTICS How we refine raw weather and hazard data

REFINEMENT

Automated or ad hoc, update the model based on collected future scenario data.

MONITORED EXECUTION

Collect temperature trace data from smart pallets, GPS locations.

AUTOMATED PLANNING

Through API’s, integrate Riskpulse Score (RpS) into TMS / workflows.

Example: Freight Savings Implementation

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CUSTOMER SUCCESS

Improvements noted based on feedback and usage reports.

SALES & CUST. SUCCESS

Inform clients that insulation recommendations will be made on a dynamic basis.

CONFIGURATION

Create temperature Risk Profile to automatically suggest reefer vs. blankets vs. dry.

BUSINESS PROCESS SYSTEMS INTEGRATIONASSESS OPPORTUNITY

‣ Scan client network ‣ Match against freight spend ‣ Calculate ROI

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Example: Shipment-level Risk Scoring in Action

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Q: What’s the risk to my shipment scheduled to depart tomorrow?

A: Riskpulse instantly displays risk across the route, helping shippers make changes and avoid delays, product loss, and disruptions

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Page 7: TRANSLATING DATA INTO ACTION … FOR LOGISTICS › grandchallenge › sites › default › ...TRANSLATING DATA INTO ACTION … FOR LOGISTICS How we refine raw weather and hazard data

Example: Shipment-level Risk Scoring in Action

Page 8: TRANSLATING DATA INTO ACTION … FOR LOGISTICS › grandchallenge › sites › default › ...TRANSLATING DATA INTO ACTION … FOR LOGISTICS How we refine raw weather and hazard data

Thank you. Questions? Email me or visit Riskpulse.com to learn more.

Matthew Wensing, CEO [email protected]