
Real operations. Real savings.
Here is what happens when you close the coordination gap.

USE CASE 1
D&D Intelligent Arbitration
From 150-Column Excel to Zero Preventable D&D Fees
The Situation
A global importer had full real-time tracking visibility but was still paying crippling detention and demurrage fees. The reason: the warehouse was managing container priorities in a 150-column Excel file, which was slow to update, difficult to maintain, and impossible to act on at speed. Urgent containers sat in terminals while lower-priority boxes were cleared first. The result was both financial — unpredictable D&D invoices exceeding €500K per year — and commercial: out-of-stock on highpriority promotions.
What Changed
Streamliner integrated with the existing tracking platform to ingest live container ETAs. The arbitration engine began ranking every container by its end-of-free-time deadline balanced against commercial priority flags from the ERP. All teams work with the same data, container status, priority etc.., updated in real time.
The Outcome
D&D fees were reduced by more than 50%. Stockouts on priority stock dropped to near zero. The Excel file was retired.

USE CASE 2
Eliminating The Workload Rollercoaster
From Overtime Chaos to Stable, Predictable Operations
The Situation
A leading B2B wholesaler in sanitary products was reluctant to adopt yet another digital scheduling tool. Previous systems gave “estimated” windows that were routinely ignored. Drivers would arrive for a 09:00 slot and find an unmanaged queue, or be forced into a generic 30-minute window that was too short for their actual load, causing cascading delays throughout the day.
What Changed
Streamliner was deployed with its order-centric scheduling logic. Because each appointment is anchored to the actual purchase order, the system knew exactly what was arriving, in what quantity,and what resources were needed. Slot durations were calculated dynamically. Labor and equipment plans were set the night before, not improvised at the gate.
The Outcome
The warehouse now runs with a smaller, more stable team. Overtime costs were slashed. Resource planning shifted from reactive scrambling to predictable daily operations.
USE CASE 3
98% Carrier Adoption
Transport companies Love It When Their Slot Means Their Slot – predictability over flexibility
The Situation
A company specialized in fruit & vegetable sourcing and logistics for retail was reluctant to adopt yet another digital scheduling tool. Previous systems gave “estimated” windows that were routinely ignored. Drivers would arrive for a 09:00 slot and find an unmanaged queue, or be forced into a generic 30-minute window that was too short for their actual load, causing cascading delays throughout the day.
What Changed
Streamliner calculated each appointment duration from the carrier’s specific shipment data, synchronized with live warehouse labor availability. A gate kiosk integration allowed drivers to check in using a unique PIN that immediately directed them to the correct dock for the correct duration.
The Outcome
Transport companies reached 98% adoption within months. A 09:00 slot now means 09:00 — with the right gate, the right duration, and no queue. Transport companies view Streamliner as a tool that protects their drivers’ schedule. Adoption is self-reinforcing.

USE CASE 4
Replacing The Dispute Email Chain
From Inbox Chaos to Dispute-Free Supplier Relationships
The Situation
A large wholesaler was drowning in administrative overhead. Every delivery discrepancy — damaged goods, partial shipments, missing paperwork — triggered a multi-party email chain across warehouse, purchasing, supplier, and carrier. Resolution took days. Liability was disputed. Invoices were unpaid. There was no audit trail and no shared source of truth.
What Changed
Streamliner was implemented as the central collaboration hub. Every shipment was linked to its original purchase order. When goods arrived damaged, the warehouse team photographed and uploaded documentation directly to the shipment record. Notifications were sent automatically to the exact supplier and carrier involved. SLA performance became visible and objective.
The Outcome
Dispute resolution time dropped dramatically. Administrative overhead on order chasing fell sharply. Partner SLA reviews moved from emotional disputes to data-driven conversations. The wholesaler’s contact database maintained itself automatically as partner users updated their own profiles.