Disconnected Systems
Transportation and warehouse operations ran on separate platforms, requiring manual data reconciliation between receiving, scheduling, and dispatch.
One unified platform for order management, warehouse receiving, auto-scheduling, embedded installation services, and real-time delivery tracking. No duct tape. No disconnected systems.
Delivering appliances to consumers requires appointment scheduling, warehouse coordination, installation services, and real-time visibility. Most logistics software was never built for this.
Transportation and warehouse operations ran on separate platforms, requiring manual data reconciliation between receiving, scheduling, and dispatch.
Appointment-based delivery slots required phone calls and email exchanges, slowing consumer booking and increasing error rates.
Installation and add-on services were managed outside the delivery workflow, creating blind spots in service completion and quality reporting.
Warehouse teams had no advance visibility into incoming shipments, causing dock bottlenecks and slower put-away times.
No real-time status updates as orders moved through hub receiving, scheduling, dispatch, and final delivery. Exception management was entirely reactive.
Photos, electronic signatures, and service records were captured in multiple tools, making it difficult to share consolidated delivery assets.
Grasshopper Labs delivered a fully integrated API-driven solution through its unified TMS+WMS platform, purpose-built for appointment-based, big and bulky final mile delivery
Create, update, and manage orders via dedicated APIs. A two-stage flow supports initial order creation with SKUs, then enrichment with serial numbers via ASN, mirroring the real-world fulfillment process.
Automatically check available delivery capacity and reserve appointment slots in real time during order creation. Consumers get confirmed delivery windows immediately.
ASN data triggers automatic freight manifest generation before shipments arrive. Warehouse teams get advance visibility for faster dock-to-stock processing with zero manual entry.
Installation, haul-away, and add-on services are part of the order. Drivers perform and report service activities in the Driver App, including photo capture for proof of service completion.
Automated status updates at every milestone: received in hub, time frame agreed, out for delivery, arrived on site, delivered. Exception notifications include detailed reason codes.
Every delivery date deviation requires a mandatory reason capture. This data flows back to Electrolux for schedule adherence analysis and root-cause improvement.
Photos, electronic POD, and service completion records are consolidated and shared through the platform. One source of truth for delivery verification.
API-driven notifications for failed orders enable faster exception resolution and reduce manual monitoring overhead across the delivery network.
Every stage of the big and bulky delivery lifecycle flows through a single unified system.
Electrolux submits order via API with SKUs and quantities
Serial numbers added via Advance Shipping Notice
Capacity-based appointment slot reserved automatically
Inbound manifest pre-generated from ASN data
Driver assigned with delivery and service tasks
ePOD, photos, and service completion captured
A single platform replacing fragmented tools delivers compounding efficiency gains across the entire delivery operation.
"When transportation management and warehouse operations live in a single platform, every touchpoint from inbound receiving to final proof of delivery flows through one system. That is what big and bulky delivery demands."
Grasshopper Labs — Built by operators, for operators
The Grasshopper Labs platform is built for extensibility. Here is what is rolling out to deepen the Electrolux integration and expand operational intelligence.
Drivers can add services directly within the Driver App during delivery, accommodating last-minute customer requests without back-office intervention.
Custom analytics including auto-scheduling success rate and scheduled date adherence rate, providing performance visibility tailored to Electrolux's KPIs.
Intelligent routing that factors in appointment windows, service time requirements, and vehicle capacity to maximize delivery density and reduce cost per stop.
Machine learning models that forecast delivery volume by region and time period, enabling proactive capacity planning and resource allocation.
Automated driver assignment that balances workload, skills, proximity, and delivery SLAs to optimize fleet utilization across the network.
Consumer-facing AI that handles appointment rescheduling, ETA inquiries, and delivery requirement questions, deflecting CS volume automatically.
See how Grasshopper Labs can transform your final-mile delivery with the only unified TMS+WMS platform built for big and bulky logistics.