Route Optimisation + Workday

Route Optimisation Integration for Workday

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.

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Optimise Routes. Feed Costs and Hours to Workday.

Workday is the financial and HR backbone for enterprise organisations, 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.

The Problem

Delivery Data Challenges for Workday Users

Delivery Costs Invisible in Workday

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.

Driver Hours Tracked Manually

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.

No Route Efficiency Benchmarks

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.

Cost Centre Allocation Guesswork

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.

How It Works

Optimise Routes, Feed Data to Workday

1. Import Delivery Orders

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.

2. Optimise and Execute Routes

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.

3. Sync Costs and Hours to Workday

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.

Feature Highlights

Route Optimisation with Workday Data Integration

AI-Powered Optimisation

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.

Time Window Constraints

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.

Capacity Constraints

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.

Real-Time Re-Routing

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.

Multi-Vehicle Planning

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.

Drag-and-Drop Adjustments

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.

Financial Impact of Route Optimisation for Workday Users

29%

Reduction in delivery fleet operating costs

18%

Decrease in driver overtime hours

100%

Cost centre attribution accuracy

Manual hours spent reconciling delivery costs

Route Optimisation for Workday: Common Questions

No. Workday is a cloud-based platform for human capital management, financial planning, and enterprise analytics. It has no logistics, route planning, or delivery management features. However, companies using Workday for finance and HR still need their delivery route costs accurately allocated to cost centres and driver hours tracked for payroll compliance.

Companies using Workday for financial management need delivery-related data to flow into their financial system. Route optimisation from Locate2u generates data about fuel costs per route, driver hours worked, mileage per cost centre, and delivery efficiency metrics. This data feeds into Workday Financial Management for accurate cost allocation, budgeting, and variance analysis across delivery operations.

Locate2u exports route completion data including total distance, drive time, fuel estimates, driver hours, and delivery counts to Workday via Workday's REST API or flat file integrations. This data maps to Workday cost centres, expense categories, and worker time records so that delivery costs are accurately reflected in financial reports and driver hours flow into payroll calculations.

Yes. Locate2u tracks actual driver start times, end times, break durations, and total hours on the road. This time data can be exported to Workday HCM for payroll processing, ensuring drivers are paid accurately for hours worked rather than relying on manual timesheets that often contain errors or estimates.

Route optimisation generates detailed operational data: cost per delivery, fuel consumption per route, deliveries per driver, and route efficiency scores. When this data flows into Workday Adaptive Planning, finance teams can accurately forecast delivery costs, identify underperforming routes, and model the financial impact of fleet changes or territory adjustments.