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Case Study:

Seasonal Multi-Drop Reefer, Orchestrated

Case Study / October 9, 2025

Executive Snapshot

  • Seasons: Aug–Nov; Feb–Apr

  • Peak volume: 30–50 reefer loads/week

  • Stops per load: 8–15 (avg. 12)

  • Performance: 98% on-time delivery (OTD)

  • Primary levers: Appointment orchestration + multi-drop routing

Client Profile

  • National bulb distributor supplying big-box retail DCs and stores

  • Time-critical, temperature-controlled, multi-stop milk-runs during promotions

Challenges

  • Tight retailer calendars (MABD/target windows) across many DCs/stores

  • High dwell variability and curbside congestion at stores

  • Two seasonal waves requiring predictable, repeatable execution

Objectives

  • Protect appointments and target windows

  • Stabilize dwell and stop sequence across dense routes

  • Maintain temp integrity through frequent door cycles

MyFreightWorld Solution

Appointment Orchestration

  • Centralized scheduling with retailer-specific lead times

  • Pre-advise scripts, dock notes, access instructions on each shipment

  • Rolling confirmations to keep multi-stop sequences intact

Routing Optimization (Multi-Drop)

  • Stop order balances store hours, historic dwell, traffic patterns

  • Drive-time models that protect windows and avoid choke points

  • Live re-sequence when DC calendars shift

Reefer & Handling SOPs

  • Setpoint guidance, continuous-run where required, pulp-temp checks

  • Door-open time limits and airflow preservation across frequent stops

  • Driver playbooks for DC vs store procedures

Control-Tower Execution

  • Creation-time QA on appts, labels, ASN before tender

  • Rolling ETAs, exception tiers, rapid re-sequence triggers

  • After-hours coverage for weekend waves/resets

Feedback Loops

  • Dwell variances captured and fed back into route design

  • Store-level quirks codified as rules, not anecdotes

  • Weekly trendlines to tighten calendars and buffers

Results (Seasonal Waves)

  • 98% OTD across both seasons

  • Peak stability at 30–50 loads/week, 12 stops average

  • High appointment hit rate with minimal re-sequencing

  • Consistent retailer scorecard performance during promotional peaks

Why It Worked

  • Appointments treated as the product to be protected

  • Routes engineered for seasonality, not just miles

  • Single operating rhythm from load creation to last stop

What’s Next

  • Expand pre-season capacity blocks on surge corridors

  • Add store-level dwell forecasting to routing

  • Extend creation-time QA to seasonal display/packaging SKUs

Need seasonal multi-drop reefer that holds together at peak? Let’s build your appointment-first, routes-that-hold playbook.