Itlc13 spk template - decisiv 6713
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Transcript of Itlc13 spk template - decisiv 6713
2013 ANNUAL CONFERENCE & EXHIBITION
Synchronizing Trucking’sFinance & IT Business Practices
June 10-12Hilton La Jolla Torrey PinesLa Jolla, California
Michael Riemer Decisiv, Inc.
Big Data & Service Relationship Management
ATA Antitrust Statement
All ATA meetings are held in strict compliance with applicable state and federal laws and ATA’s antitrust policies that prohibit the exchange of information among competitors regarding matters pertaining to price, refusals to deal, markets division, tying relationships and other topics which might infringe upon antitrust regulations.
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As an attendee it is your duty to avoid improper conversations.
Thanks To Our Sponsors!
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• Software as a Service (SaaS) Service Relationship Management (SRM) platform to manage and measure the service supply chain for service and repair events for high value assets (trucks, trailers, etc.) to drive uptime and asset utilization.
• Key Features– Single view portal with in-context data mash-up– Real-time Dashboards & Notifications– Fleet Watch with Reporting & Analytics
Decisiv – Service Relationship Management
Service Relationship Management (SRM)
• Approach to managing and measuring the interactions across an entire supply chain to improve the efficiency of the service cycle and optimize the financial return on assets.
• Optimizing processes and simultaneously reducing defects, eliminating waste, increasing asset productivity, and improving service process yield
04/10/2023 5
HDT
Heavy Duty Trucking Service & Repair = 0.85 to 3 σ High end = Airline baggage handling
The Service & Repair Paradox
Rewarded for lowest service and parts pricing without impact analysis on asset utilization
Inefficient capital deployment (extra assets) without understanding Days Out of Service (DOS).
Multiple, disconnected systems and silos of unstructured data
Can’t manage and report on what you don’t measure
Web Portal – SRM Contextual Data Mash-Up
What Drives Downtime? Average Days out of Service
– 4 to 8 days per event
– $500 to $1000 / day
– 1 to 3 events per month
Key Challenges
– Limited real-time visibility
– After-the-fact financial management
– Poor data / analytics on process inhibitors
Cost of Downtime = $35 Billion / Year
Lost Revenue/Opportunity = 4.5M Class 8Trucks*$600/Day*13 DOS (95% Uptime)
Additional Impacts• Customer Retention• Driver Retention• Lower Profits• Poor Asset Utilization
Single view portal /dashboard
In-context data mash-up
Pareto of process inhibitors
Track both DOS and VMRS/costs
Data and Process visualization
Framework for analyzing asset and capital utilization
Features of SRM Big Data Approach
• Real-Time Dashboards• Real-Time Notifications
• Fleet Watch
Managing Big Data with SRM
Real-Time Dashboards
In-Context Data Mash-Ups• View = Cases by status, stage, location, etc. • Show = Process visualization• Score = Reporting & Analytics
Change in status Estimated repair time Desired duration by stage Personalized follow up times Subscribe/follow Case “Contacts”
– Call Center– Fleet– Service Provider– Manufacturer– Other
Real-Time Notifications – In Context Links
“Call Center” like services (outsourced “fleet manager”) Proactive case management with notifications Dashboards to monitor cases across all locations Reporting visualizes key metrics (KPIs) Analytics measure asset and location “health” and utilization
FleetWatch
• Individuals– Improved decision making– No repair surprises– Improved job satisfaction (less stress)
• Enterprise– Lower days out of service– Improved asset utilization and/or
reduction in number of required assets– Customer & driver retention– Increased revenue & profits
Impact of SRM Big Data Approach
Thank You ForYour Attention!
Michael RiemerVP Products and Channel MarketingDecisiv, [email protected]
Questions?