Here is a summary of a client success story that leveraged
the power of Artificial Intelligence (AI) to help them get answers
from their data and enable them to take control.
Client
UTL Solar, a Delhi-based B2C Electronics company
Their Service department receives Repair / Service
requests across the country
High TAT (Turn-Around-Time) affecting resource
utilization (people, inventory, cash-flow), logistics, training
and brand
Pain points
They were facing too many problems in service and were not
able to find what has to be done to improve our service.
Which service engineer is doing how much complaints?
At what time?
Is he starting his work at 11 or before 11?
What area is the most problematic area?
Which component is the most required component?
Which issue is the biggest issue?
Answers
Look at the Right-side JF Insights snippet, they can
quickly focus on areas of improvement
They could filter by state, city, product and time
JF Insights helped them identify the engineers that have
a high number of open requests AND high TAT across products,
engineers and areas/city
Reduced bias in assessing high performing engineers
Key Take-aways
Within 6 months: Service TAT reduced from 7.8 to 1.6 (75%
reduction)
Improved service level for clients
Better control on resources across people, inventory, and
cash-flow
AI is a powerful enabler!
Insights that used to take days and weeks, can be done in
minutes and hours now.
