DATA ANALYTICS IN LOGISTICS

Identify and harness untapped optimization potentials in logistics with Data Analytics.

Your challenges

The increasing complexity in value networks, disjointed systems and evolved heterogeneous IT structures are the reasons why companies continuously initiate optimization processes to improve cost structures, manufacturing processes and their logistics network.

In the context of digitalization, data analytics methods are becoming increasingly important. Through the structured analysis of business data, optimization potentials can be identied and harnessed in dierent areas by using statistical methods. Requirements for the implementation are a profound description of expected cause and eect relationships and the provision of relevant data that allow its analytical processing.

From previous project experiences ITCL has identied four relevant optimization segments for logistics and could raise signicant cost advantages together with its clients.

Our optimization segments

Ecient use of assets - Forecast inaccuracies lead to misinvestments

We support the improvement of your forecasting processes by linking inventory data with demand data

E.g. optimization of bins/load carrier

Approach:

  • The demand data gets linked with the bin/load carrier inventories and ows via the parts and packaging information

Lever:

  • Planning of initial and replacement investments of the load carriers based on actual customer and product demands

Effect:

  • Reduction of investment costs for bins/load carriers due to demand-based investments and prevention of misinvestmen

Elimination of process ineciencies - Complexity in value networks fosters ineciencies

We identify ineciencies in complex value creationsystems by using data analytics

E.g. optimization of transport cost

Approach:

  • Linking of logistical data concerning quantity and performance, eciency gures of process ows and nancial gures of the cost cause

Lever:

  • By means of statistical deviation analyses optimization potentials and ineciencies are visualized and can be analyzed and eliminate

Effect:

  • Reduction of logistics costs in transport, intralogistics and production due to the elimination of systemically recognized ineciencies

Efficient capacity management - Inated exibility creates cost

We analyze the necessary exibility demand of your value chain to negotiate (supplier) capacities as required

E.g. optimization of the allocated exibility

Approach:

  • Creation of correlations between installation frequencies of components, demand-related behavior of the customer and the structure of capacities in the supply network

Lever:

  • Demand-based statements about capacity and volume uctuations of individual componen

Effect:

  • Cost reduction due to targeted negotiations for exibility ranges with the supplier
  • Reduction of shortage situations through a demand-based exibility provision

Disruption and shortage prevention - Disruptions in the supply chain cause excess costs

We support you with the analysis of root-causes for shortages, create system-based transparency and identify eligible options to react

E.g. optimization of shortages

Approach:

  • Consolidation of procurement and consignment data of suppliers and logistics service providers

Lever:

  • System-based identication of deviations and events in the supply chain enables the target-oriented and ecient elimination or prevention of shortages and disruptions

Effect:

  • Reduction of shortage costs and special deliveries/air transport
  • Prevention of lost sales
  • Securing customer satisfaction

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