Workday manages your finances and workforce. Locate2u optimises your delivery routes and feeds cost allocation, driver hours, and efficiency data directly into Workday for accurate financial reporting and payroll.
Workday is the financial and HR backbone for enterprise organizations, but it has zero logistics capabilities. It cannot plan delivery routes, sequence stops, or track fleet operations. Yet delivery operations generate significant costs fuel, driver wages, vehicle maintenance, overtime that need to flow into Workday for accurate financial management.
Locate2u bridges this gap from both directions. It provides the AI-powered route optimisation that minimises delivery costs in the first place, and then feeds the resulting operational data route costs, driver hours, mileage by cost centre, delivery counts directly into Workday Financial Management and HCM for payroll processing, cost allocation, and financial planning.
Without route optimisation feeding data into Workday, delivery costs are recorded as lump-sum fuel and labour expenses with no visibility into cost-per-route, cost-per-delivery, or cost-per-customer. Finance teams cannot identify which delivery operations are profitable and which are bleeding money.
Drivers submit paper timesheets or estimated hours that flow into Workday payroll. These manual records are often inaccurate rounding up drive time, forgetting breaks, or misreporting start and end times. The result is payroll errors that either overpay or underpay drivers and create compliance risk.
Workday Adaptive Planning needs operational data to forecast delivery costs accurately. Without route optimisation metrics like cost-per-stop, average stops per route, and fuel efficiency by territory, financial planning relies on rough estimates that deviate significantly from actual performance.
When delivery routes serve customers from multiple business units, allocating vehicle and driver costs to the correct Workday cost centres requires manual calculations. Route optimisation data provides per-stop cost attribution that eliminates this guesswork and ensures accurate interdepartmental cost allocation.
Locate2u imports delivery orders from your order management system. Addresses, time windows, item details, and cost centre tags flow into the optimisation engine for route planning.
AI sequences every stop for minimum drive time and fuel consumption. Drivers follow optimised routes on the mobile app while the system records actual distance, hours, and completion data at every stop.
Route costs map to Workday cost centres. Driver hours flow to Workday HCM for payroll. Fuel and mileage data populates expense categories. Finance teams get accurate delivery cost data without manual reconciliation.
Minimises total fleet driving distance and time across all vehicles. Every route is the most cost-efficient version possible, directly reducing the delivery expenses that flow into Workday financial reports.
Ensures every delivery arrives within the customer-specified time window. On-time delivery reduces the hidden costs of failed attempts and re-deliveries that inflate Workday expense reports.
Optimises vehicle loading to maximise deliveries per trip. Fewer half-empty runs means lower cost-per-delivery a metric that Workday finance teams can track at the cost centre level.
Dynamically adjusts routes when disruptions occur, preventing overtime hours that would inflate payroll costs in Workday. Every re-optimisation aims to keep drivers within their scheduled shift hours.
Balances workload across drivers to prevent overtime imbalances. Even workload distribution means predictable driver hours that align with Workday payroll budgets and reduce surprise overtime costs.
Fine-tune routes manually when business priorities override pure optimisation. Move high-value deliveries to earlier time slots or reassign stops between drivers changes recalculate cost projections instantly.
Reduction in delivery fleet operating costs
Decrease in driver overtime hours
Cost centre attribution accuracy
Manual hours spent reconciling delivery costs