cooling analysis using business intelligence

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Cooling Analysis - Business Intelligence

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Cooling Analysis - Business Intelligence

Problem Statement

• In day to day Goods delivery process, we face perennial problem of Dockets taking hours of cooling time at different transshipment branches.

• In such cases,

It becomes difficult to identify the reason for delay at different locations?

If it is because of customer or cause of internal reason? Which location is the cause for the delay? Is the cooling time justified ? If it is waiting at one place then for what duration?

Solution

Solution

• WebXpress help you to solve this issue by offering following features:

1)Docket wise cooling time

2)Average Hours month wise

3)Booking, Transshipment and Delivery location status

BI-Dashboard View

Docket wise Cooling Time

Docket 1284796 halts at

KSH for 0:17 mins,KRD for 0:10 mins KLP for 3:00Hrs

Average Hours Month wise

It shows that for the docket it takes around 0:48 cooling hours per month

Average Hours Location Wise

It shows that at Kolhapur(KLP) it takes 0:48 minutes of cooling hours

Booking Details

It shows dispatch delay of 0:52 minutes

Transshipment and Delivery Details

It shows the time, the same docket takes place at various transshipments and at delivery location.

Advantage

• It shows total amount of time taken by dockets at each location

• It shows location wise cooling hours which help one get clarity on time consuming locations

• It gives idea that the reason for delay is branch of customer or some other reason

• It gives the time duration at each location

Thank You

KEEP IN TOUCH

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