Order intake
Import delivery orders from a spreadsheet, ERP export, or API. Validate addresses, priority, load requirements, and customer time windows before planning.
Routely AI is an AI logistics planning workspace for distributors. Turn orders, fleet capacity, driver shifts, and delivery constraints into practical dispatch plans from one control tower.
Delivery teams often balance order priorities, vehicle limits, customer windows, driver availability, and changing road conditions across spreadsheets, calls, and chat messages.
Capacity, zones, shifts, time windows, and order priority all affect the plan.
Dispatchers spend time rebuilding plans whenever the day changes.
Fuel usage and avoidable travel become visible only after deliveries are complete.
Generate an initial dispatch plan quickly, then let the operations team review and adjust it.
Sequence stops while considering delivery windows, route distance, and practical constraints.
Match deliveries to vehicles based on available capacity, operating zone, and planned shift.
Compare plan options using distance, utilization, estimated drive time, and fuel assumptions.
The platform is in early access. Performance goals should be validated through customer pilots before publishing quantified claims.
Routely AI combines planning automation with operator controls. Dispatchers stay in charge while the platform handles the repetitive calculation work.
Import delivery orders from a spreadsheet, ERP export, or API. Validate addresses, priority, load requirements, and customer time windows before planning.
Build multi-stop plans that account for delivery zones, travel time, customer windows, order priority, and configurable operating rules.
Assign routes using vehicle capacity, vehicle type, branch, availability, and dispatch constraints instead of relying on manual guesswork.
Create practical route assignments around driver shifts, branch location, workload, leave status, and operational handover needs.
Monitor the planned day, flag exceptions, and re-run affected routes when deliveries, vehicles, or driver availability change.
Compare total planned distance, estimated drive time, vehicle utilization, and fuel assumptions before dispatch begins.
Upload order details or connect an upstream system. Validate stops and delivery requirements.
Choose vehicles, shifts, service zones, time windows, priorities, and branch constraints.
Let the planning engine propose routes, assignments, and estimated operational costs.
Share the approved plan, monitor exceptions, and compare planned versus actual outcomes.
The product roadmap is modular so an early customer can begin with a focused workflow and adopt more capabilities over time.
Build a realistic delivery plan using configurable business rules rather than a simple shortest-path calculation.
Allocate deliveries with a practical view of vehicle capacity, branch, vehicle type, and availability.
Build driver assignments around branch, shift, route workload, and operational exceptions.
Give operations teams a planning dashboard with assumptions and metrics that can be improved through pilot data.
The initial market focus is wholesale and distribution businesses managing repeat delivery routes across cities and regional networks.
Plan frequent, multi-stop deliveries to retailers with changing daily order volumes.
Sequence branch deliveries while accounting for timing and operational handling needs.
Organize service-sensitive delivery runs with traceable planning decisions.
Allocate vehicle capacity for heavier orders and geographically dispersed customers.
Routely AI is an early-stage logistics planning company focused on AI-assisted dispatch planning for wholesale and distribution teams.
A subscription model can scale with the customer’s operation while allowing a focused early-access pilot.
One branch, core route-planning workflow, baseline measurement, and operator feedback.
Recurring access for dispatch teams with vehicle, order, and driver planning modules.
Multi-branch visibility, advanced integrations, analytics, and optimization controls.
Pricing should be finalized after customer discovery and should not be presented as validated until confirmed through real sales conversations.
The proposed architecture keeps optimization logic, operational workflows, and human review clearly separated so the product can mature safely during pilots.
Optimization suggestions remain reviewable so operations teams control the final plan.
Maintain plan versions, operator changes, and the assumptions used during planning.
Measure real pilot outcomes before publishing performance or savings percentages.
Begin with reliable spreadsheet workflows, then add system integrations where customers need them.
We are exploring pilot partnerships with distributors that want to improve route planning and dispatch operations.
For pilot enquiries or startup verification, contact Akash at akash@routely.shop.
Routely AI is an early-access product for wholesale and distribution operations. The next step is a focused pilot with real dispatch data.