Network & Fleet Design
Fleet composition, depot decisions and delivery-territory design.
Transportation & Logistics
Plan the network, the crews and the routes as one system.
Routing, scheduling, assignment and network design are all NP-hard, and they interact — a network decision constrains what routing can achieve, a schedule constrains the routes it can run.
The challenge
Why this decision gets combinatorially hard.
Add vehicles, time windows, capacities, driver-hour rules and service levels, and the search space explodes faster than traditional solvers keep up. Classical planning tools optimize each piece in isolation and stitch the results together, leaving value on the table exactly where volume is highest.
What we optimize
Concrete decisions, mapped to products.
Assignment & Capacity
Shipment-to-vehicle assignment, driver allocation, load consolidation and capacity allocation.
Scheduling
Driver schedules, delivery windows, crew scheduling and dock scheduling.
Routing
Vehicle routing, multi-depot routing, pickup and delivery, constrained and last-mile routing.
Product composition
Composed from QuGradient products.
Highlighted products are the ones this industry composes most often. A specific engagement may use one, several or all four.
Potential business outcomes
The KPIs we optimize toward.
Mileage
Fuel
Fleet utilization
Delivery performance
Service levels
Operating cost
Outcomes are benchmarked on your own data against your current approach. We don't promise unsupported percentages.
How we engage
Assessment → Proof-of-Value → Integration.
Optimization Assessment
Map the decision, objectives, constraints, data readiness and baseline to candidate products.
Proof-of-Value
Benchmark QuGradient against your current solver, process or model — on your own data.
Deploy & Integrate
Integrate the successful capability into your applications, data platforms and compute.
Bring us the problem.
Share the decision, your objectives and constraints, and a representative slice of the data. We'll map it to the right products and tell you whether a benchmark or proof-of-value makes sense.
Discuss your logistics optimization problem →