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Industry Scenario                                               Automotive Data Warehouse (ADW)                           ...
Revenue/ Opportunity LossLong-term?                        Utilization                         ?            of            ...
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HCLT Brochure: Automotive Data Warehouse

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HCL’s Automotive Data Warehouse offers greater visibility within the automotive distribution network down to the VIN number of the automobile via RFID readers and tags on autos (new and used) at loading and unloading ramps. The key components in HCL’s ADW solution allow its rail client to maintain details on every VIN’s end-to-end movement for routing analysis and improved shipment tracking by customer. It records and maintains billing details that allows management (of contract provisions with the carrier’s automotive and multi-level fleet customers), cost analysis execution, asset utilization effectiveness while continuing to meet customer demand, analysis of damage/ compile occurrences and liabilities to optimize ramp locations, and accord comparison and analysis of actual rail car volume to budget and forecast estimates.

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HCLT Brochure: Automotive Data Warehouse

  1. 1. Industry Scenario Automotive Data Warehouse (ADW) - Solution OverviewIn North America, motor vehicles and automotive parts HCL’s ADW initiative aims to create a powerful decisioncomprise approximately 5-8% of the total commodities being support system that provides a single, integrated view ofshipped by rail and are accountable for close to 5% of the automotive business data in order to enable insightful analysisannual rail revenues, growing at a rate of 40% since 2009. for making meaningful, reliable and accurate businessThough shipping vehicles by rail has its own benefits decisions.compared to trucking (more freight by gross tons, reducedemissions), the following challenges faced in automotive Our solution bridges data silos and maximizes the automotivefreight movement reduce the profit potential that can be information, providing:accrued by the industry: ? of automotive operation from manufacturer to VisibilityNo visibility of shipments at the VIN (Vehicle Identification? dealer delivery at the VIN levelNumber) level Actionable information supporting proactive decision ?? transit time due to dwell times at classificationIncreased makingyards ? response time-to-market changes thereby Shorter? utilization of equipment/ ramp/ railcarImproper enhancing competitive advantageLow customer satisfaction (due to lack of visibility in? ? insight to detect revenue leakage Data andtracking and tracing shipments)? information relating to damages and delays inInsufficientclaim settlementEmpty movement of railcars on back-haul movements to?origin
  2. 2. Revenue/ Opportunity LossLong-term? Utilization ? of Potential ? multiple Visibility ? into Customer ? Optimal ? auto rampcontract freight cars based manufacturer co- individual commitments on location planningperformance on occupancy loading within movement of shipments Demurrage charges ?verification levels railcars shipped for delayed railcar? shipmentNew car automobiles shipmentsonly Automotive Freight Management New cars Cars loaded Freight cars sent Trains scheduled Trains switch Trains reach manufactured into empty to train head for from destination tracks, moving destination and in auto plant freight cars transport and loads across tracks of cars unloaded on Class 1 Railroads ramps Each car has a Way Bills created Freight railcars Classification yard No data sharing Auto ramps store unique VIN and mapped to VIN tracked/ no automobile switching creates between Class 1s in the cars till the number numbers level visibility train blocks real-time dealers pick it up RFID-based data generated at auto- car level A set of KPIs, dimensions and data modeling specifically applicable to the automotive business of the railroads of North America Dimensions VIN Facility Date/ Customer Dealer Truck Railcar Segment Claim/ Rail Train Hold Location Time Carrier (Lane) Damage Carrier Type (OD Pair) Code ? Type ? Year ? Name ? Name ? Name ? Number ? ? Origin ? Type ?Code ? Number ? Code KPIs Number ? Size ? Qtr ? Type ? Location ? Type ? Type ? ? Type ?Code ?Name ? Symbol ? Reason Type ? SPLC ? Mth ? Plant ? Zone ? OEM ? Capacity ? ? Dstn ?Type Color ? State ? Day ? Location OEM ? Dealer ? Owned ? ? Type ?Reason OEM ? City ? Hour ? FlagPotential Benefits: Key Differentiators:? revenue leakage in freight operationsMinimize ? logical model Pre-built? utilization/ optimization of asset/ resources byImproved ? dimensions and attributes Pre-built20% ?area-wise KPIs Subject? transit time by 15%Improved? and real-time information availabilityVisibilityBetter customer satisfaction? For more information please contact – ttl@hcl.com Hello, I’m from HCL. We work behind the scenes, helping our customers to shift paradigms and start revolutions. We use digital engineering to build superhuman capabilities. We make sure that the rate of progress far exceeds the price. And right now, 85,000 of us bright sparks are busy developing solutions for 500 customers in 31 countries across the world. How can I help you? www.hcltech.com