TECHNOLOGY & DESIGN
LOGISTICS / OVERVIEW
Connect orders, warehouses, deliveries and arrival events to understand waiting and workload. Design analytics for dispatch decisions and practical ways to capture field events.
Explore the delivery scope ↓Conceptual data-to-operation flow, adapted to the agreed project scope.
Overall averages hide operational bottlenecks. Examine sites, weekdays, customers and time windows to identify who can change the waiting time and which planning decisions it informs.
For these teamsLogistics planning, dispatch, warehouse managers and shipper logistics teams
01 / INPUTS
02 / CONTEXT
Align scope and time, preserving the path to source records.
03 / WORKFLOWS
Adjust plans with operations
PRIORITY WORKFLOWS
01 / CAPABILITY
Treating all time between arrival and departure as waiting can misdirect improvement. Distinguish early arrivals, queues, handling and inspection, with a capture method the site can sustain.
Use arrival, reception, handling and departure events to explain dwell time. Compare sites and customers using consistent event definitions and missing-data rules.
Explore data, evaluation and scope ↗02 / CAPABILITY
A short route may violate unloading order or delivery restrictions. Separate hard constraints from preferences and explain which assumptions need adjustment when no feasible plan exists.
Model delivery windows, vehicle capabilities and site constraints so dispatchers can compare feasible options and understand changes.
Explore data, evaluation and scope ↗Before adding systems, identify sources, access methods and refresh owners. CSV and existing reports can establish value before committing to integrations.
Check trips, destinations, delivery windows and vehicle constraints, including orders split across trips.
Define arrival, check-in, loading and departure events; missing scans must not look like short visits.
Keep schedule revisions, load constraints and reasons for manual changes to compare plans with feasible operations.
Confirm TMS and WMS interfaces and refresh timing. Handle late data, duplicate orders and reception during network outages.
Architecture principles ↗A WORKFLOW IN PRACTICE
This is an illustrative engagement, not a client case study or a claim of results.
Even at one site, booking and check-in practices change what waiting time means. Scope one location, define events from arrival to departure and map where digital and paper records diverge.
Show a trip timeline and missing events, with filters for day, time and load type. Keep trips requiring source verification explicit rather than filling gaps with estimated times.
Check identical trips with gate staff and dispatch managers. Acceptance requires agreement on periods and event definitions; sites needing better recording can be separated from implementation scope.
The set does not need to be complete; discovery can establish missing inputs and access conditions.
DISCOVER → PROVE → BUILD
Validate one site and a defined period of dispatch or waiting records.
Evaluate concentrated workloads and frequent booking changes.
Include re-entry, repeated deliveries, same-day additions and missing fields.
Compare individual visits with source records and explain differences.
QUESTIONS BEFORE YOU START
No. Begin with read-only analysis; design write-back separately after confirming interfaces and responsibilities.
Measure current completeness and review effort, then agree on comparable metrics rather than adopting national averages as targets.
RELATED FIELD GUIDE
LOGISTICS / GUIDE
Before using a single arrival-to-departure duration, agree on reception, waiting and handling events. Build evidence that shippers and operating teams can use together.
Read the guide ↗YOUR OPERATION / OUR STARTING POINT
Tell us about the workflow, systems and reporting or documents that need attention. We will define a suitable phase, deliverables and assumptions.
Logistics and transport — discuss your project How scope and estimates work ↗