1. Port Call and Dispatch Planning

• Are vessel schedules created using spreadsheets or email?
• Do we rely on human intuition or static rules to assign berths?
• Are delays or early arrivals disrupting crew scheduling or cargo readiness?
• Can we visualise port occupancy and vessel status in real time?
• Could we benefit from AI-generated dispatch recommendations?

2. Route Optimisation and Fleet Efficiency

• Are routes assigned manually or based on static GPS rules?
• Are we tracking vehicle location, idle time and delivery times live?
• Do drivers or schedulers adjust plans based on congestion or fuel efficiency?
• Are empty return trips common?
• Do we track driver behaviour (speed, braking, stops)?
• Could we automate route selection to optimise time and emissions?

3. Document Automation and Compliance

• Are customs forms, BoLs or inspection reports manually completed?
• Do we re-enter the same data in multiple systems?
• Are paper documents scanned or manually uploaded?
• Are compliance issues discovered too late?
• Are we storing documentation in disparate systems?
• Could we benefit from auto-filling, validation and alerts?

4. Demand Forecasting and Resource Planning

• Are we using averages, Excel, or past trends to forecast demand?
• Do we regularly face stockouts, overstocking or misaligned staffing?
• Are decisions based on last season rather than current data?
• Can we respond quickly to changes in booking patterns or external trends?
• Do we want to predict demand at the lane, depot or customer level?
• Could we benefit from automated forecasts and scheduling tools?

5. Inventory and Warehouse Automation

• Are inventory counts done manually or inconsistently?
• Is stock visibility often incomplete or inaccurate?
• Are pick/pack errors impacting delivery accuracy?
• Are we forecasting restock needs or reacting to low supply?
• Could warehouse movements be better coordinated?
• Could we automate replenishment or slotting decisions?

6. Asset Monitoring and Predictive Maintenance

• Are maintenance intervals set by time, not usage or condition?
• Have we had breakdowns that could’ve been prevented?
• Is asset performance data logged but not analysed?
• Are service logs fragmented across systems or teams?
• Could we forecast the likelihood of failure or maintenance needs?
• Could we reduce unplanned downtime through earlier alerts?

7. Workforce and Shift Optimisation

• Are shifts and rosters built manually or via spreadsheets?
• Do we struggle to match labour supply to peak periods?
• Are certain roles regularly under or over-resourced?
• Do we rely on fixed templates for rostering?
• Could we model optimal workforce coverage using demand data?
• Could we increase productivity with smarter rostering?

8. Customer Support and Communications

• Are staff handling repetitive “Where is my order?” calls?
• Do customers expect real-time updates we can’t always provide?
• Are updates and notifications inconsistently sent?
• Are customer queries siloed from shipment data?
• Could we benefit from 24/7 customer self-service options?
• Could we automate status updates and notifications?

9. Emissions Tracking and Sustainability Reporting

• Do we have a clear view of our carbon footprint across the supply chain?
• Is emissions data tracked manually or not at all?
• Do clients ask for ESG data we can’t produce easily?
• Are route and load decisions made without emissions insight?
• Could we optimise journeys based on fuel usage or load consolidation?
• Could we surface real-time sustainability metrics?

10. System Integration and Intelligence Layer

• Are we constantly switching between platforms to find data?
• Do systems (TMS, WMS, CRM, ERP) operate in silos?
• Are integrations hard-coded, inflexible or prone to breaking?
• Are key decisions delayed by the lack of a single source of truth?
• Could we benefit from dashboards that unify data across systems?
• Could we add intelligence between platforms without rebuilding them?