From Whiteboard to Dashboard: Vehicle Load Planning Meets Live GPS Tracking

The problem: loading trucks is still a whiteboard decision

Walk into the yard of most precast, panel, or heavy-component manufacturers and you’ll find the same thing: a dispatcher with a marker, a whiteboard, and a mental model of which truck can take which order. It works, mostly — right up until a delivery date slips, a truck gets double-booked, or someone asks "where’s the load for site 14?" and the honest answer is "somewhere on the highway, we think."

The frustrating part is that the data to avoid this already exists. The installation team knows which panels are needed, where, and by when. The yard knows what’s produced and ready to ship. Most fleets already have GPS hardware installed for insurance or fuel-management reasons. What’s usually missing isn’t data — it’s a system that connects delivery date and site → what goes on which truck → where that truck actually is as one continuous record instead of three disconnected ones.

That’s the gap a vehicle load planning module, tied to live GPS fleet tracking, is built to close.

Why this is harder than generic route planning

Off-the-shelf fleet or route-planning software tends to assume uniform, boxable cargo. Manufacturers shipping precast panels, hollow-core slabs, or other long, awkward components run into a constraint that generic tools don’t model well: bed length is often the binding limit, not payload weight. A truck can be well under its weight capacity and still be unable to take another panel because there’s nowhere to put it. Any load-planning logic built for this kind of product has to reason about both dimensions — weight and length — not just one.

The other constraint generic tools miss is that real dispatch always has exceptions the system doesn’t know about: a truck already committed to another job, a site with a delivery-time restriction, a driver on leave. A load planning tool that can’t be overridden by a human who knows more than the algorithm just becomes something dispatchers route around.

How we approach it

We design this as an extension of the manufacturer’s existing Production Execution & Traceability System (built on our simpliMES / ERPNext foundation), not a bolt-on tool that duplicates data entry. The flow looks like this:

flowchart TD
    A["Delivery Orders Queue"] --> B["Dispatcher Planning Board"]
    B --> C["Auto Suggested Assignment"]
    C --> D["Dispatcher Adjusts"]
    D --> E["Load Plan Confirmed"]
    E --> F["Delivery Trip Created"]
    F --> G["Live GPS Tracking"]
    G --> H["Dashboard and ETA"]

Delivery order queue. Required delivery date, site, and product/panel codes are pulled directly from the installation schedule — no re-keying data that already exists elsewhere in the system.

Dispatcher planning board. A vehicle-by-day calendar view shows what’s committed and what’s open, so the whole week’s capacity is visible at a glance instead of living in someone’s head.

Auto-suggested assignment. The system proposes a loading plan per truck, matching orders to available capacity on both payload weight and bed length. For long, awkward cargo, length is usually the constraint that actually decides the plan.

Manual override. Dispatchers can drag and drop orders between trucks or days to handle the exceptions the system can’t see — a truck already committed elsewhere, a site with a delivery-time restriction. The system proposes; the dispatcher decides.

Load plan confirmation. Confirming a plan creates the delivery record — a single object that ties the load to specific product codes and feeds directly into live tracking, rather than a separate spreadsheet someone has to reconcile later.

Where GPS tracking fits in

The tracking half of this is deliberately scoped to reuse whatever GPS hardware the fleet already has — the goal is software that sits on top of existing vehicle tracking infrastructure, not a new hardware rollout. Once a load plan is confirmed and a delivery trip is created, that trip is tracked automatically:

• Geofenced status updates — a delivery record moves through Dispatched → In Transit → Arrived automatically as the vehicle crosses defined boundaries, instead of a driver or dispatcher updating status by phone.
• ETA visibility for installation crews — so a site crew isn’t idle waiting on a truck, or caught off guard when it arrives early.
• Full trip history per delivery — tied to the same load plan and product codes, so "where did this specific panel go, and when did it arrive" has a real, auditable answer.

Load planning and GPS tracking write to the same delivery record by design. Building them as two disconnected systems — one that plans loads, one that tracks trucks — just recreates the reconciliation problem in a different form.

What this replaces, and what it doesn’t

To be specific about scope: this module replaces the ad hoc, whiteboard-style loading decision and the manual status phone call with a structured, auditable plan tied to each product code. It does not remove the dispatcher from the loop — the auto-suggested assignment is a starting point a human confirms or overrides, not an autonomous dispatch system. And it depends on the fleet’s existing GPS platform providing usable position data; where that access needs to be confirmed or where API/webhook feeds are limited, that gets verified as an early step before build, not assumed.

FAQ

Does this require new GPS hardware?
No. It’s designed to integrate with GPS fleet-tracking hardware the fleet already has installed, provided that platform exposes a usable API or webhook feed for position and geofence events.

What decides truck assignment — the system or the dispatcher?
The system proposes an assignment based on payload weight and bed length. The dispatcher reviews and can override any assignment by dragging orders between trucks or days. Final loading decisions stay with the dispatcher.

Can this run as a standalone add-on, or does it require a full MES rollout?
It’s designed to work either way: as a standalone add-on on top of an existing ERPNext/simpliMES foundation, or bundled into a full Production Execution & Traceability build. Standalone scope and timeline depend on the fleet’s GPS platform providing verified integration access.

Is trip history tied back to individual product codes?
Yes — that traceability link is the point. Each delivery trip is tied to the load plan and the specific product/panel codes it carried, not just a generic "truck X, route Y" log.

Where this fits

This module extends the same traceability principle behind our broader Production Execution & Traceability work: every unit produced should be traceable through to delivery, not just through the factory gate. If your team is still planning truck loads on a whiteboard and chasing delivery status by phone, this is the kind of gap worth closing next.

Questions about fitting this to your fleet and production setup — reach us at hello@simplico.net.