Our client is a leading US - based Private Equity firm, wanted us to smoothen
inventory management for a portfolio company which manufactures automobile
parts and have operating centers at more than 250 locations.
Company wanted their spare parts to reach customers on time, every time.
JMI Implementation
Extracted the historical data and analyzed various data like shipment order type,
from - to details etc. to design daily warehouse stock and inventory reporting
tool for warehouse managers. This gives them a comprehensive overview of the
level and location of stock, and shows recommendations on where to store each
item based on customer demand.
Analytics team also extracted three years of historical shipping data to predict
the number of in - and outbound shipping orders per warehouse over daily, weekly
and monthly horizons. It helped the company to manage their labor planning and
maintain the right level of staffing to deal with customer demand on any given
day.
Observed that during the summer long holiday in US, there was a spike in demand
for automobile parts and required a huge workforce for better supply chain
management.
Built an optimization model for its client which helped them to solve complex
distribution network problems and provided optimal solutions within a given set
of parameters. JMI team also observed that 8 of its distribution center had
lower sales compared to average sales figures because of longer deliverable time.
Provided insights to clients for better positioning of its warehouses to minimize
delivery time and costs across entire network.
Results
JMI designed smarter distribution networks that optimize speed and costs.
JMI helped company in better inventory movement and reduces labor cost and
increasing revenue.
