Transportation Analytics at a glance:
Transportation typically accounts for around half of all supply chain costs. If an organisation lacks the insight needed to optimise transport operations, costs can spiral, other processes can suffer, and customer experiences can fall far short of modern expectations.
Understand and navigate an increasingly complex logistics landscape, filled with greater carrier choice than ever before.
Maintain a strong customer focus and ensure that goods arrive with customers on time – wherever they are.
Master new data types and harness data from third-party carriers to optimise routes and build smarter transportation strategies.
Cut costs and improve efficiency in any way possible to protect profit margins – without sacrificing delivery speed.
The Smart Cube applies advanced analytics and data science to internal and external data to provide custom reports and dashboards that help you make informed carrier decisions and optimise transportation performance on an ongoing basis. We build and implement our solution around your organisation’s needs. By putting self-serve analytics tools into the right hands at the right time, we deliver insights that can be turned into actions quickly, across four areas that impact transportation costs and efficiency:
Make better informed carrier sourcing decisions and optimise your carrier base with bid and tender analytics, rate benchmarking and scenario modelling.
Get the full story about carrier performance, and gain the insight needed to resolve performance challenges proactively.
Visualise your transportation operations and make smarter routing decisions with full visibility of where goods are moving, when, and at what costs.
Uncover powerful opportunities for logistics innovation and carrier collaboration with input from The Smart Cube’s transportation experts and data scientists.
If you are responsible for procuring logistics services and need to evolve your sourcing strategy, are managing transportation operations and need a reliable and consistent view on performance, or are just looking to leverage automation and best practices across your supply chain CoE team, with Transportation Analytics from The Smart Cube you can:
Based on your business context, strategic goals and priorities, we adopt a custom approach to help you move up the analytics maturity curve towards rapidly delivered predictive and prescriptive transportation insight. Here’s how our process works:
When you choose Transportation Analytics from The Smart Cube, you always get:
The client wanted to run a pan-European tender to streamline and identify cost-saving opportunities within road freight across the region, but did not have the capacity, tools or framework needed to assess more than 1,500 transport lanes spread throughout 40 countries.
The Smart Cube created a tender baseline and aggregated data from shipment level to lane level, and created custom quotation templates for each of the 50 carriers. We automated the carrier bid integration process and created a framework for running different carrier scenarios, enabling an efficient carrier selection process and allowing flexibility to assess change impact.
The automated, custom carrier sourcing framework provided clear visibility to the client and helped understand cost saving opportunities worth €3.5 million through the pan-European tender.
EBITDA margins were shrinking while order lead times were high for this leading US automotive manufacturer. It turned to The Smart Cube to explore how it could optimise its distribution network and reduce operating expenses.
The Smart Cube created a Solver model using a non-linear programming algorithm to find optimised distribution centres in each cluster, which were made using the Lead Cluster algorithm in R. The model helped the client identify the distribution centres that could yield maximum EBITDA margins and reduce the order lead time by up to 24 hours.
The client visualised savings of $43 million by reducing its storage and transportation costs, leveraging the cluster strategy, and as a result was able to make more informed decisions about future strategy.
The client wanted to optimise distribution, warehousing, transportation and labour costs and evaluate best route to market for more than 10,000 SKUs across 4 assembling units, 15 distribution centres and 4 temperature regimes, with each distribution centre able to serve >500 retail stores.
The Smart Cube ran data models across all key data, from personnel/transportation costs and labour hours, to volume of inbound and outbound traffic, supplier orders, routes from each distribution centre, pallet spaces and cases – to provide visibility into the best routes. The data then fed into a dynamic cost simulation and scenario analysis tool (delivered via Tableau) to provide visibility and assess the optimised routes to market.
Our simulation tool helped the client identify process efficiency opportunities in terms of managing warehousing activities and optimal routes, leading to a 5% savings in the logistics cost.