Lambda Supply Chain Listed as a Representative Vendor in Gartner® Market Guide for Supply Chain Network Design Tools
Lambda Supply Chain Listed as a Representative Vendor in Gartner® Market Guide for Supply Chain Network Design Tools
Go beyond standard planning. With Lambda Lab’s AI route optimization software, simulate complex scenarios to discover the most efficient and cost-effective last-mile delivery configurations before you commit.
Your route planning solution is powerful but is it configured for peak performance? Small, untested changes lead to massive inefficiencies. Lambda gives you a strategic sandbox to test every variable and perfect your logistics strategy.
Test the impact of changes across all critical aspects of your supply chain delivery operations.
What's the optimal delivery frequency? Test moving from daily to alternate-day schedules or changing delivery days for specific zones.
Analyze the cost-to-serve impact of tightening or relaxing customer delivery time windows. Find the sweet spot between service level and operational cost.
Model the effects of changing vehicle capacities, adding different vehicle types, or utilizing 3PL partners for certain routes or overflow.
Evaluate different shift patterns, start times, and adherence to hours-of-service regulations to maximize driver productivity and ensure compliance.
Apply unique rules and constraints to different customer segments. Test premium service levels for key accounts while finding efficiencies for others.
Use data-driven insights from your simulations to find the most optimal configuration for your primary TMS and route planning software.
Model and optimize your transportation network test scenarios, reduce costs, improve service levels, and identify the most efficient routes.
Easily input your variables. Select the customer segments, routes, or regions you want to model and define the changes you want to test.
Powered by the latest Nvidia cuOpt GPUs, our engine processes your historical data against new constraints with unmatched velocity.
Receive a clear, comparative report showing the impact on KPIs like total miles, cost, on-time performance, and vehicle utilization.
Simplify route planning, optimize transportation costs, and improve supply chain performance with cloud-based collaboration and GPU-powered optimization.
Built-in parcel rate and transit time databases for leading parcel providers, so you have the data you need to make informed decisions without the legwork.
A fully cloud-based solution that enables collaborative digital twin building across functions and geographies, with teams working together in real time.
The latest Nvidia cuOpt GPU technology solves the most complex supply chain models with blazing speed — down to SKU-level detail, in record time.
A simple, intuitive interface that makes building models fast and easy, so you can focus on optimizing your supply chain instead of learning the tool.
Supply Chain Route Optimization is the process of identifying the most efficient delivery routes based on factors such as customer locations, delivery schedules, vehicle capacity, time windows, travel distances, and transportation costs. It helps businesses reduce miles and transportation costs while improving delivery efficiency, vehicle utilization, and service levels.
Yes. Lambda provides capabilities for both supply chain network design and route optimization, allowing teams to evaluate decisions from facility location and distribution strategy to transportation routes and delivery configurations within a connected modeling environment.
Yes. Lambda can help businesses model and optimize last-mile delivery configurations by evaluating factors such as customer locations, delivery windows, vehicle capacity, driver availability, and route constraints.
Yes. Lambda can use your existing supply chain and transportation data to build models and evaluate different routing scenarios, helping you make decisions based on your actual network and operational requirements.
Lambda uses GPU-powered optimization technology to accelerate complex routing calculations, allowing teams to evaluate large numbers of scenarios and compare outcomes much faster than traditional approaches.
Supply chain, transportation, logistics, distribution, and operations teams can use Lambda to evaluate routing strategies, improve delivery efficiency, reduce transportation costs, and make more informed network decisions.
Lambda combines advanced route optimization, scenario modeling, simulation, and mathematical optimization in a single cloud-based platform. It enables teams to test delivery schedules, time windows, vehicle mixes, driver shifts, and customer segments to identify routes that reduce transportation costs while improving service levels and vehicle utilization. With GPU-powered optimization and rapid scenario analysis, Lambda helps businesses make faster, data-driven routing decisions before implementing operational changes.
Yes. Lambda uses actual road distances and travel times instead of relying on straight-line estimates. This enables more accurate route planning, transportation cost analysis, delivery scheduling, and overall logistics optimization.
Supply Chain Route Planning focuses on creating delivery routes based on defined operational requirements, while Route Optimization identifies the most efficient routes based on costs, constraints, and service levels. Lambda helps teams move beyond basic route planning by simulating and optimizing complex routing scenarios using real-world data.
Learn more about Supply Chain Route planning and Optimization.
Lambda Supply Chain is a supply chain optimization platform that combines routing optimization with network design, helping companies design distribution networks, optimize delivery routes, and evaluate what-if scenarios across cost, service, and operational constraints.
See firsthand how Lambda de-risks strategic decisions, optimizes transportation operations, and uncovers hidden savings across your logistics network.
