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Challenge detail · Meridian Logistics

Last-Mile Delivery Optimisation

Singapore · Singapore Distribution Centre · 12 weeks

Matching

Approved requirements

These reviewed fields drive matching—not AI-generated scores.

Demo challenge
Baseline11% Late deliveries (%)
Pilot targetBelow 7%

We want to reduce late deliveries from an 11% baseline to below 7% during a 12-week pilot at our Singapore distribution centre, using existing order and vehicle-location data.

Required capabilities
Route optimisationReal-time dispatchOrder and GPS data integration
Missing information

Indicative budget · Data access and residency owner · Final measurement method

Recommended partners

Criterion-based fit, grounded in curated profile evidence.

Top 3 of 5
Routify AI
Malaysia · Logistics intelligence
Direct route-optimisation capability
Confirm vehicle-location API compatibility
100/100
Available
Fleetly
Malaysia · Fleet operations
Strong regional fleet experience
No capacity for this timeline
77/100
In active POC
Nexus Mobility
Indonesia · Mobility systems
Relevant optimisation engine
No demonstrated order-system integration
56/100
Available
Capability fit 40 · industry experience 20 · product maturity 15 · deployment support 15 · timeline capacity 10. Availability is separately enforced. Scores indicate fit, not predicted POC success.

Match evidence & first-meeting questions

Grounded in approved requirements and startup profile evidence. Scores stay deterministic.

Generate concise reasons, risks, evidence gaps and questions for the top three. Generated text never changes eligibility or rank.