CASE STUDY

Using Data Science to Deliver Strategic and Actionable insights for a Logistics Company

Problem

Our client was facing the problem of having multiple data sources and platforms for different verticals and processes. This lead to:

  • Poor visibility of processes
  • Poor coordination among business verticals
  • Tracking order trails were challenging.
  • Lack of monitoring led to inconsistent cash flows.

Solution Given

Intelytica came up with SAIL: Smart Analytics & Intelligence in Logistics. SAIL is a decision-making tool designed to enhance decision-making abilities by using data-driven strategies. Its core objective is to focus on increasing efficiency and productivity in the logistics sector. SAIL  has categorized its solution in following areas:

  • Network Optimization
  • Warehouse Location Analysis
  • Carrier Mode Mix Analysis
  • Quality Analytics
  • Maintenance cost reduction
  • Capacity Forecasting

Solution Impact

SAIL helped in:

  • Standardizing their processes.
  • Reduced turn around time by 1/4th.
  • Better monitoring helped in consistent cashflows.
  • A monitoring system made sure that ownership was maintained throughout a service life cycle.

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