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 identified and harnessed in different areas by using statistical methods. Requirements for the implementation are a profound description of expected cause and effect relationships and the provision of relevant data that allow its analytical processing.

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

ITCL_Produkt_Data Analytics_ENG

Our optimization segments

Efficient 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 flows 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 inefficiencies - Complexity in value networks fosters inefficiencies

We identify inefficiencies in complex value creationsystems by using data analytics

E.g. optimization of transport cost

Approach:

  • Linking of logistical data concerning quantity and performance, efficiency figures of process flows and financial figures of the cost cause

Lever:

  • By means of statistical deviation analyses optimization potentials and inefficiencies 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 inefficiencies

Efficient capacity management - Inflated flexibility creates cost

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

E.g. optimization of the allocated flexibility

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 fluctuations of individual componen

Effect:

  • Cost reduction due to targeted negotiations for flexibility ranges with the supplier
  • Reduction of shortage situations through a demand-based flexibility 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 identification of deviations and events in the supply chain enables the target-oriented and efficient elimination or prevention of shortages and disruptions

Effect:

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

comments are closed