Improving Order Fulfilment Accuracy and On-Time Delivery Through Logistics Performance Management for a Leading Super App and On-Demand Platform

- Industry
- Transportation & Logistics
- Last Mile Delivery
- Client
- Leading Super App & On-Demand Services Platform
- Service
- Management Consulting
- Solution
- Logistics Performance Management Improvement to Improve Order Fulfilment Accuracy and On-Time Delivery
The Platform is a leading super app and on-demand services business, operating a last-mile delivery network that connects merchants, drivers, and consumers across a large and fast-growing transaction volume. Its logistics performance directly shapes customer experience and platform trust across food, parcel, and on-demand delivery use cases.
- Inconsistent order fulfilment accuracy across delivery partners and regions, leading to missed or incorrect orders
- On-time delivery performance falling short of customer expectations during peak demand periods
- Limited standardised performance management framework to track and drive driver and partner performance
- Fragmented visibility into root causes of late or inaccurate deliveries across the network
- Inconsistent performance incentives and coaching mechanisms across regions
- On-time delivery and order accuracy are the two most direct drivers of customer satisfaction and repeat usage on on-demand delivery platforms
- Platform switching cost for end consumers is low, making service reliability a critical retention lever rather than a purely operational metric
- As delivery volume scales across a diverse partner and driver base, performance variability compounds without a standardised management system
- Left unmanaged, service quality gaps persist even as the underlying network capacity expands
Performance Diagnostic
Analysed order fulfilment accuracy and on-time delivery performance across regions and delivery partners to identify root causes of service gaps.
Performance Management Framework Design
Designed a standardised logistics performance management framework with clear metrics, targets, and accountability structures.
Root-Cause & Process Improvement
Identified and addressed root causes of late and inaccurate deliveries through targeted process improvements.
Incentive & Coaching Model Design
Designed performance incentive structures and coaching mechanisms to drive consistent driver and partner behaviour.
Rollout & Continuous Monitoring
Rolled out the performance management framework across regions with a live monitoring dashboard to sustain gains.
- Logistics Performance Management Framework
- Order Fulfilment Accuracy Root-Cause Analysis
- On-Time Delivery Improvement Playbook
- Driver & Partner Performance Incentive Model
- Coaching & Performance Review Cadence
- Regional Performance Dashboard
- Phased Rollout Roadmap
Improved Order Accuracy
Root-cause-driven process improvements reduced missed and incorrect order fulfilment.
Higher On-Time Delivery
Standardised performance management lifted on-time delivery rates across regions.
Consistent Partner Performance
A structured incentive and coaching model reduced performance variability across drivers and partners.
Faster Issue Resolution
Improved visibility into root causes enabled faster corrective action on recurring service gaps.
- 10–15%
- Improvement in order fulfilment accuracy (approx.)
- 92%+
- On-time delivery rate achieved post-implementation (approx.)
- 20%
- Reduction in delivery-related customer complaints (approx.)
- 90%+
- Delivery regions covered by the new performance framework (approx.)
- 25%
- Faster root-cause resolution of service issues (approx.)
- 15%
- Improvement in average driver and partner performance scores (approx.)
Fulfilment accuracy, delivery timeliness, and partner coaching now operate against a shared set of standards through a single performance management discipline, not a short-term service fix. A live performance dashboard and structured incentive model sustain service reliability as delivery volume continues to grow.
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