Vehicle Delivery Scheduling
Vehicle delivery scheduling that respects the whole store's capacity
Booking a delivery time is the easy part. Honoring it is the hard part. Delivery Day OS schedules deliveries against the actual capacity of recon, finance, and prep — and reschedules proactively when something slips.
Hernandez · 2022 F-150
4:00 PM · Sales: Marcus
Chen · 2024 CR-V
4:30 PM · Sales: Priya
Patel · 2023 RAV4
5:00 PM · Sales: Jordan
Booking blind to capacity
Sales books deliveries based on what the customer wants and what the calendar looks empty. Recon, finance, and prep are not in that conversation — so Saturday at 4 PM ends up with six deliveries stacked against three detail bays.
Half the deliveries slip. Customers wait. CSI drops. Saturday becomes the worst day of the week.
Capacity-aware scheduling
Delivery Day OS knows the recon bay throughput, the finance pipeline, and the prep crew schedule. When a salesperson tries to book 4:00 PM Saturday, the system shows whether that slot is actually viable — and recommends slots that are.
When something slips after booking, the system flags the affected appointments and surfaces the conflict before the customer is already in the showroom.
What's inside
Capacity-aware slot picker
Sales sees which slots are actually open, not just the empty cells on a calendar.
IQ recommended time
Recommends the soonest slot recon, finance, and prep can all hit.
Proactive conflict alerts
When recon slips, the affected appointments surface immediately.
Lead-time enforcement
Finance and cash deals carry their own minimum lead times — enforced at booking.
After-hours handling
After-hours requests routed to managers, with the right context.
Customer-facing readiness
When the delivery is truly ready, the customer can be notified with confidence.
Why Delivery Day OS
- Scheduling is capacity-aware on day one — not after a year of pain.
- Slips surface to sales and managers immediately, not at the appointment time.
- The recommended slot is the one that actually works for the whole store.
Frequently asked questions
What is vehicle delivery scheduling?
Vehicle delivery scheduling is the practice of booking customer delivery appointments against the real operational capacity of the store — recon bays, finance pipeline, prep crew, and sales coverage. The goal is appointments the store can actually keep.
Can sales override the recommended slot?
Yes — sales can book any slot, but the system shows whether recon, finance, and prep can hit it. Managers can also require approval for slots that violate lead time or capacity.
Does this integrate with my CRM?
Delivery Day OS is the operational board, not a CRM replacement. The customer record and lead source stay in your CRM; the delivery appointment and readiness live in Delivery Day OS.
How is Delivery Day OS different from a DMS or CRM?
A DMS owns deal paperwork and inventory accounting. A CRM owns the lead-to-sold pipeline. Delivery Day OS is the live operational layer between them — the delivery board where sales, finance, recon, and back office coordinate readiness in real time.
Related from Delivery Day OS
Explore the workflow
One dealership delivery day tool, connected across every handoff.
Follow the complete Delivery Day OS workflow from scheduling and readiness through finance, vehicle preparation, customer arrival, and the final handoff.
- Dealership delivery boardSee every delivery, owner, readiness signal, and blocker on one live board.
- Vehicle delivery schedulingSchedule appointments against real finance, vehicle-prep, and store capacity.
- Finance readinessSurface paperwork, signing, registration, plate, and funding blockers earlier.
- See Delivery Day OS in actionWatch the dealership delivery day tool connect the full sold-to-delivered workflow.
- Dealership delivery coordinator guideLearn how stores create delivery ownership with or without a dedicated coordinator.
- Delivery readiness softwareConfirm vehicle, finance, paperwork, and customer readiness before arrival.
See Delivery Day OS on your numbers.
Walk through a live board with your store's data.