Golden Wok Delivery Network Intelligence

From network pressure to service reliability and corridor-level action

Golden Wok’s delivery network presents a connected operational challenge: understanding where delivery pressure originates, when service reliability begins to deteriorate, and which corridors require attention.

The report follows a three-stage analytical journey:

Network Performance → Service Reliability → Network Optimization

01 | Network Performance

The first page explores where delivery pressure originates across the network.

Delivery radius, traffic friction, weather conditions and zone tiers provide the context for understanding where operational pressure is concentrated and how those conditions affect delivery performance.

Outcome: Identify where network conditions create the greatest delivery pressure.

02 | Service Reliability

The second page focuses on what happens as delivery performance deteriorates.

One of the clearest findings was the relationship between delivery duration and SLA risk. Breach rates increased sharply across longer delivery-time bands, while customer ratings remained comparatively stable.

This made service reliability a stronger operational signal than the customer-rating response in the supplied data.

Outcome: Understand when delivery performance begins to translate into significant SLA risk.

03 | Network Optimization

The final page moves from diagnosis to action.

I combined Profit Efficiency and SLA Risk to classify delivery corridors into Priority Intervention, Service Intervention, Economic Optimization, and Protect & Maintain.

ABC classification then adds economic importance, helping distinguish valuable corridors that should be protected or repaired from weaker, higher-risk corridors that may warrant deeper review.

Interactive tooltips provide additional corridor and intervention context without overcrowding the main report.

Outcome: Prioritize corridor-level action based on economic value and service reliability.

Validation Before Visualization

The brief served as a checklist for testing key assumptions against the supplied data. Where discrepancies appeared, values were adjusted only when defensible or excluded when they could not be reliably interpreted.

This kept the analysis grounded in the brief while allowing validated evidence to determine the final story.

Final Takeaway

Golden Wok became a simple decision journey:

Diagnose → Understand → Prioritize

The project reinforced the importance of validating assumptions before visualization and keeping each report page focused on a clear business question.

A rich operational dataset does not need a crowded report. Every visual should help move the analysis closer to a decision.

Data Source: September 2026 DataDNA – Golden Wok Food Delivery Analytics Challenge