Case Study / Enterprise Systems

Logistics Dispatch & Operations Optimization

Dispatchers were spending hours on phone calls just to answer basic status questions. Floges replaced that loop with a dispatch hub that connected the fleet, warehouses, and customer updates in one system and cut operating cost by 30%.

Client: National Logistics Group Industry: Supply Chain & Freight Core System: Signal-to-System Dispatch Hub Date: Q2 2026
-30%
Operational Cost Cut
80+ to <15
Daily Dispatch Status Calls
-40%
Customer Support Queries

The client was managing a fleet of over 200 trucks and 5 warehouse locations using a combination of legacy WMS software, shared Google Sheets, and phone calls. Dispatchers were spending up to 4 hours per shift manually calling drivers to check transit status, confirm warehouse arrivals, and resolve delays.

When clients called to ask about delivery times, customer support had to call dispatch, who then called the driver. This phone-chasing loop created operational drag, delayed billing, and added heavy administrative overhead. The core issue was simple: information was trapped in manual communication instead of moving through a reliable system.

1. Diagnose Signal · Locate · Orient · Root

We mapped the dispatchers' communication logs and found that 70% of delays came not from traffic, but from manual arrival checks and driver wait times at loading bays.

Trap Avoided: Solving the wrong problem, like building a customer-facing chatbot instead of fixing the driver coordination loop.
2. Architect Frame · Calibrate · Blueprint · Define

We scoped an MVP around a driver notification web page and an integration layer with the existing warehouse management system. The driver check-in flow was kept simple and required no app download.

Trap Avoided: Scope bloat, like trying to rebuild the full warehouse system, and demo-only work that never reaches operations.
3. Forge Engineer · Synthesize · Construct · Execute

We built the middleware platform and connected SMS triggers through Twilio. WMS checkpoints fed automated check-in pages, and drivers could upload proof of delivery from a mobile camera.

Trap Avoided: Slide deck consulting that never becomes software.
4. Deploy Activate · Commission · Ignite · Release

We launched the dispatch portal with a pilot group of 50 drivers. Dispatch operators were trained on how to handle exceptions, such as lost connections, directly inside the new portal.

Trap Avoided: Systems that work in slides, but fail in actual work when people face exceptions.
5. Compound Evolve · Calibrate · Refine · Optimize

After launch, we monitored check-in latency and adjusted the geofencing radius to remove false arrival alerts. We also refined the dashboard logic to flag trucks waiting at loading docks for more than 45 minutes.

Trap Avoided: Post-launch stall where systems degrade into legacy debt without iterative optimization.

Instead of forcing the client to buy a costly transportation management system, we built a lightweight middleware layer that connected the tools they already had to real-time communication channels.

WMS Database
Legacy inventory & shipment records. Trigger signal: "Order Ready".
Google Sheets API
Dynamic route assignments and driver phone numbers.
GPS Geofences
Virtual boundaries around warehouse terminals.
Floges Middleware Orchestrator
Listens to database cues, parses geofence triggers, reconciles spreadsheet assignments, and formats SMS notification states.
Dispatch Portal
Dispatcher web UI with live transit feeds, delay triggers, and exception override controls.
SMS Dispatch Hub
Twilio API integration sending driver notifications and deep links automatically.
Driver Mobile Web
One-click web layout for instant check-in, bay assignment check, and mobile POD upload.

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