Big-and-bulky delivery — furniture, appliances, large-format electronics — breaks every assumption built into parcel logistics software. Shipsy’s big-bulky operating model drove a global big-and-bulky retailer leading in furniture and home goods to a 95% first-attempt delivery rate (FADR), and a premium Oceania furniture brand to same-day installation windows that parcel networks can’t touch.
The finding: parcel playbooks destroy big-bulky margins
Parcel logistics optimizes for density: route many small stops tightly. Big-bulky is the opposite — few stops, long dwell times, two-person crews, install work, assembly, and high cancellation cost. Apply parcel logic to big-bulky and you get the worst of both worlds: routes that ignore install time, drivers who can’t complete jobs, and customers who take another day off work for a redelivery.
The retailers winning big-bulky have moved to a delivery model that treats the install window as the primary unit of planning, not the stop itself. Shipsy’s route optimization for big-bulky accounts for product-specific service time, two-person crew assignment, elevator and floor-access constraints, and installation skill requirements — on top of the normal routing decisions.
Why big-bulky is its own category
Six operational realities separate big-bulky from parcel:
- Service time dominates drive time. A sofa install can take 45 minutes. Routing that optimizes drive time alone misses the actual constraint.
- Two-person crews are the bottleneck, not trucks. Pairing, break compliance, skill mix.
- Vehicle fit matters. Sofa into a van vs box-truck vs tail-lift vehicle. Wrong vehicle, wrong route.
- First-attempt delivery is expensive to redo. A failed big-bulky delivery isn’t a re-attempt cost — it’s a second truck, second crew, second customer window.
- Pre-delivery coordination is required. The customer needs to move the old sofa out, clear stairs, be home. Missed comms = failed delivery.
- Returns are hard. Returning a sofa is not putting it in a parcel bag.
Shipsy’s big-bulky suite addresses each. Astra plans routes using product-specific service-time profiles. The driver app handles install checklists, photo capture of completed work, and customer sign-off. Clara handles pre-delivery customer coordination — confirming access, elevator booking, and removal of the old item — the day before delivery.
The pre-delivery conversation is the biggest FADR lever
Most big-bulky delivery failures happen before the truck leaves the depot. The customer didn’t know the delivery window, didn’t clear the stairs, wasn’t home, or didn’t arrange building access. Shipsy’s Clara agent runs a structured pre-delivery conversation 24 hours ahead:
| Customer confirmation | Impact on FADR |
|---|---|
| Access confirmed (elevator, stairs, parking) | +8-12 points |
| Window reconfirmed with opt-to-change | +4-6 points |
| Old item removal arranged | +3-5 points |
| Escalation to scheduler on any “no” | +5-8 points |
Stacked, the pre-delivery mechanism is the single largest FADR improvement lever for big-bulky. A global big-and-bulky retailer leading in furniture reached 95% FADR in part by operationalizing this conversation at scale — historically these confirmations happened only for “VIP” deliveries. Shipsy runs it for every order.
What to do in the next 90 days
Three priorities. First, instrument true FADR — not “first truck arrived” but “customer signed for completed install on the first attempt.” Most retailers measure the wrong number and congratulate themselves. Second, build product-specific service-time profiles into routing — the sofa vs the coffee table vs the fridge should plan differently. Third, deploy Clara for pre-delivery customer confirmation on 100% of big-bulky orders, not just VIP.
Retailers who skip the service-time profiling end up with routes that collapse mid-day as one install runs long and cascades through the rest. Model the install work, not the drive.