Illustrative engagement. A representative scenario showing how we approach this kind of work in transport & logistics. It does not describe a specific client; outcomes are described qualitatively.
Industry overview
What is shaping transport & logistics
Transport, logistics and mobility businesses serve passengers, shippers and fleet owners, and depend on drivers. Reliability, safety and cost decide loyalty.
- Passengers expect real-time information and safety
- Driver retention is a constant challenge
- Shippers value reliability over lowest price
Client background
A logistics company, working in India. This is an illustrative engagement: a representative scenario showing how we approach this kind of work, not a named client project.
- Organisation
- A logistics company
- Sector
- Transport & logistics
- Team engaged
- IT & Development
- Services
- Mobile app development, API development & integration
Client challenge
Customers called for shipment updates.
Research objectives
- Deliver on the brief: a tracking app for a logistics company.
- Define requirements and success criteria the solution would be tested against.
- Deliver a reliable, secure solution the team can run and extend.
Target audience
Scope: App.
Audiences we typically reach in transport & logistics
Passengers and commutersDriversShippers and logistics buyersFleet ownersWarehouse staff
Geographic coverage
Coverage: India. Market: India.
- India
Research methodology
An iterative delivery approach: discovery, design, build and test in short cycles, with the client reviewing each step.
- 1Brief
- 2Tracking app
- 3Insight
We built an app for real-time tracking and proof of delivery.
Mobile app developmentAPI development & integration
Sampling strategy
- Users and stakeholders from every affected team took part in discovery workshops and acceptance testing.
Data collection
- Requirements were gathered through workshops, process walk-throughs and a review of existing systems and data.
Data quality & validation
- Peer code review on every change
- Automated and manual testing
- User-acceptance testing with the client
- Release checklist and rollback plan
Data analysis
- Usage and performance monitoring after launch
- Defect and support-ticket trends
- Process time before and after
Key findings
- Self-service tracking reduces calls.
Recommendations
- Build on the core insight: self-service tracking reduces calls.
- Track adoption and support tickets, and plan the next release from real usage.
Business impact
- Customer calls fell.
Impact is described qualitatively.
Deliverables & next steps
- Deployed solution with documentation and handover
- Support and maintenance plan
- Repeat the measure after changes are in place to track progress.
- A natural follow-on question: what do shippers need?