Faster response times, lower delivery costs,
and increasing e-commerce orders represent a few of the new dynamic
customer expectations putting pressure on existing supply chain networks.
Businesses who build optimized manufacturing and distribution networks
will be able to not only exceed service level expectations,
but also reduce operational costs.
Common challenges such as inadequate product-to-factory allocations
and manufacturing footprint,
non-optimal distribution center locations,
avoidable inventory holding costs,
long transportation lead times,
and low truck utilization rates make this a complex task
requiring mathematical programing and optimization models,
deep business domain knowledge, and machines with high computational power.
Supply Network Optimization by BCG X combines advanced mathematical modeling,
an intuitive interface, and a customizable SaaS model to remove this complexity.
Unlocking 5% to 10% customer service level improvement,
20% to 30% network complexity reduction,
10% to 25% conversion and logistics cost reduction,
and up to 30% less
CO2 emissions and higher product supply resilience.
In just a few clicks,
Supply Network Optimization helps
clients identify optimal factory and distribution center locations,
fine tune the overall network through efficient assignments,
transportation, and inventory allocation, and build a resilient
and sustainable distribution and manufacturing supply chain network.
It deploys fast, requires no technical training,
and offers sophisticated out-of-the-box visualizations.
Supply Network Optimization’s battle-tested approach has enabled clients
to uncover millions of dollars in savings by identifying avoidable
capital expenditures, ensuring continuous operational efficiencies,
and a more sustainable and resilient setup.
Build your future-ready supply chain today
with Supply Network Optimization by BCG X.