In general, Statistical logistics is the detailed planning and execution of a complex process. In fact, logistics manages the  flow of goods between the stage of origin and the point of consumption in order to meet the needs of clients or corporations.

  • We assisted the complex statistical logistics industry to improve their operational rate, accuracy, and dependability when it comes to transport of goods by providing statistical services.
  • Business metrics have been tactically deployed in the logistical arena resulting in significant benefits for freight forwarders, 3PLs, 4PLs, shipping agents, shipping ports, airports, rail depots and regulatory bodies. Logistics is a natural process that generates a lot of data.
  • Our company’s success completely depends on a talented team and a great culture. We recruit, instruct, and collaborate with the smartest people in logistics and beyond. We create accountability for ourselves and our team through our set of core principles. Bringing out the best in our employees and ourselves.

Inside this, The data refers to:

  • Data scheduling
  • Tariff information for cargo
  • Data ordering
  • Data on billing
  • Data for servicing
  • Data for fleet mapping
  • Data on asset management
  • Data on RF integration
  • Data storage and allocation

Whereas most of the organizations collect and  archive data generated in this manner, such data is only used in operational processes. Logistics companies rarely use the vast amount of archived data to maximize their output. We connect this vast data archive and implement business analytics with the goal of driving an improved supply chain process and ensuring customer satisfaction, all while spending a fraction of what they normally do.

Our products and services:

Cost Saving Analytics:

  • Fleet maintenance is one of the most visible areas in logistics where costs can be significantly reduced.
  • Large logistics organizations have a huge fleet of vehicles that require timely servicing and a massive fleet means a large maintenance budget.   
  • We were able to significantly reduce logistic organizations cost of maintenance by gauging and developing favorable schedules for preventive maintenance by introducing business analytics.
  • The advantage of this strategy is that it enables logistic companies to prevent unnecessary servicing while still performing maintenance as needed and at pre-determined intervals.
  • It is possible to compare repair methods and develop a cost-effective strategy using business analytics.
  • We also use business intelligence to undertake root-cause analysis to reduce potential fleet breakdowns.
  • In addition, we employ real-time big data business metrics and AI algorithms to activate & execute predictive maintenance but also to avoid field breakdowns.

Workers Planning Analytics

  • We have been able to assist logistic firms in allocating their resources appropriately by implementing business analytics.
  • Statistical analytical techniques have been wisely used to maximize available resources by gaining a better understanding of their behavior and performance patterns.
  • The findings of this analysis have been used efficiently by the HR professionals to increase the overall productivity of individual materials.

Risk Analytics

  • Claim frequency and severity prediction modeling
  • Credit evaluation
  • Detection and prediction of fraud
  • Prediction of foreclosure
  • Structures of evaluation
  • Analysis of loss ratios
  • Pricing based on risk
  • FDA trial statistical analysis
  • Risk Modeling value 
  • Elasticity/severity/scenario
  • Analysis of Collection and Recovery
  • Extreme event simulation
  • Analytics for supply  chains