Deployment Scenarios
What does an autonomous forklift deployment actually look like? Below are illustrative deployment patterns drawn from typical industry profiles — fleet composition, integration scope, timeline, and the order-of-magnitude outcomes that operators in each vertical commonly target.
About these scenarios. The profiles below describe typical patterns for the named industry archetypes — they are not customer testimonials or specific case studies. Quantified outcome ranges are based on industry research and our own deployment experience but will vary substantially by site. Request site-specific modelling for a quote and outcome projection tailored to your operation.
Major Western Sydney 3PL Distribution Centre
Operating Profile
- 1,500-3,000 pallet movements per shift
- 3-6 customer brands sharing the facility
- Container-deep dewanning + cross-dock + buffer storage flow
- Mature WMS (Manhattan, SAP EWM, or Korber)
- 40-60 dock doors active across split shifts
Typical Fleet Composition
- 6-10 × 3.0T Counterbalance (dock loading, general handling)
- 4-6 × 1.6T Reach Truck (high-bay storage)
- 2-3 × 4.0T Tractor (cross-dock trunk routes)
- 1-2 × 2.0T Pallet Mover (peak-period ground transport)
Typical Outcome Range
- Direct labour displacement: 12-20 FTE across 3 shifts
- Throughput increase: 15-30% same-footprint
- Pallet damage: 30-50% reduction
- Pedestrian incident risk: substantial reduction
- Payback: 18-30 months on labour cost alone
Implementation Timeline
- Week 1: Site survey + WMS API discovery
- Week 2-3: System design + fleet sizing
- Week 4-7: Truck procurement (in parallel)
- Week 8-10: Floor mapping + commissioning
- Week 11-12: Operator training + go-live
Mid-Tier Frozen Food Distribution DC
Operating Profile
- 800-1,500 pallet movements per shift
- Ice cream, frozen meals, frozen meat mix
- Manual operators rotating every 45-90 min into warm-up
- Effective productive time per operator: ~5 hours per 8-hour shift
- 15-25% understaffed permanently due to recruitment difficulty
Typical Fleet Composition
- 3-5 × 2.0T Reach Truck (frozen-spec, high-bay)
- 2-3 × 1.5T Stacker (frozen-spec, pick replenishment)
- 2-3 × 3.5T Counterbalance (frozen-spec, container loading)
- 1-2 × 2.0T Pallet Mover (frozen-spec, cross-zone)
Typical Outcome Range
- Effective operating hours per truck: 22+ per day (eliminates rotation)
- Operator wage premium recovered: 18-30%
- Recruitment + training cost reduction: very high
- Throughput per refrigerated m²: 25-40% improvement
- Payback: 14-22 months (fastest-returning vertical)
Implementation Timeline
- Week 1: Cold-zone site survey + thermal mapping
- Week 2-4: System design (frozen-spec engineering)
- Week 5-9: Frozen-spec truck procurement
- Week 10-12: Cold-zone mapping + commissioning
- Week 13: Training + go-live
Wine Logistics During Vintage Season
Operating Profile
- Year-round baseline: ~400 pallet movements per shift
- Vintage surge (Mar-May): 4-6× baseline
- Bottle-pallet handling demands gentle acceleration
- Cellar-to-pack-house-to-dispatch flow with temperature zones
- Export documentation requires batch-level traceability
Typical Fleet Composition
- 2-4 × 1.6T Reach Truck (finished-goods storage)
- 2-3 × 2.0T Pallet Mover (high-speed cellar-pack-house)
- 2 × 2.0T Counterbalance (barrel handling, bottling)
- 1-2 × 4.0T Tractor (vintage surge bulk movement)
Typical Outcome Range
- Vintage seasonal labour need: eliminated
- Bottle breakage: 60-80% reduction vs operator average
- Export documentation accuracy: substantial improvement
- After-hours pack-house labour cost: removed
- Payback: 24-36 months (seasonal pattern slows ROI vs 24/7 operation)
Implementation Timeline
- Best deployed during quiet season (Jun-Feb)
- Week 1-2: Cellar + pack-house mapping
- Week 3-5: System design (multi-zone)
- Week 6-9: Truck procurement
- Week 10-12: Mapping + commissioning + WMS integration
- Week 13-14: Pre-vintage validation + go-live
Automotive Manufacturer JIT Line-Feeding
Operating Profile
- Production line cycles every 60-180 seconds
- JIT material delivery to 8-15 line-side drop points
- eKanban replenishment from buffer warehouse
- Mixed-model production (multiple variants on same line)
- Manual milk-runs currently lose 2-4 deliveries per shift to scheduling slip
Typical Fleet Composition
- 3-4 × 4.0T Autonomous Tractor (multi-trailer milk-run)
- 2-3 × 1.4T Slim Forklift (line-side drop)
- 2-3 × 2.0T Counterbalance (buffer warehouse picking)
Typical Outcome Range
- Line stoppages from material outage: substantial reduction
- Schedule adherence: 99%+ vs 80-92% manual
- Tugger train operator cost: eliminated
- Schedule volatility absorption: high (software-defined route changes)
- Payback: 18-24 months on tug operator + line stoppage cost
Implementation Timeline
- Week 1: Line survey + takt-time analysis
- Week 2-3: Route design + MES integration scope
- Week 4-7: Truck procurement
- Week 8-10: Mapping + commissioning
- Week 11-12: Mixed-model variant validation + go-live
Mining Supply Spares Warehouse
Operating Profile
- High-value spares (single SKU values $5k-$2M)
- Heterogeneous size range: from O-rings to 4T grinding mill liners
- FIFO mine-site labour competition makes operator recruitment hard
- Heat (40-45°C summer) and dust (red iron-ore) ingress
- 99.5% on-shelf availability KPIs typical
Typical Fleet Composition
- 2-3 × 4.0T Counterbalance (heat-spec, heavy spares)
- 1-2 × 6.0T Tractor (oversized loads, multi-trailer)
- 2-3 × 3.0T Counterbalance (heat-spec, general handling)
- 1-2 × 1.6T Reach Truck (consumables high-bay)
Typical Outcome Range
- FIFO labour avoidance: full
- Cycle counting accuracy improvement: 99%+ from typical 95-97%
- Critical-spare picking priority: software-driven, no roster lag
- Heat-related operator productivity loss: eliminated
- Payback: 24-36 months (longer for high-value, lower-volume warehouses)
Implementation Timeline
- Week 1-2: Site survey (factor in remote-region access)
- Week 3-5: Heat/dust spec engineering review
- Week 6-10: Truck procurement (longer lead with site-specific spec)
- Week 11-13: Field commissioning + remote-diagnostic setup
- Week 14-15: Training + go-live
SME Manufacturer Pilot Deployment
Operating Profile
- 200-500 pallet movements per shift
- Single-task focus (e.g., dock-to-stage replenishment)
- Pre-existing manual fleet retained alongside
- 3-12 month pilot before broader rollout decision
- Defined exit criteria for fleet expansion or pilot conclusion
Typical Fleet Composition
- 1 × autonomous truck matched to primary task
- Most common: 1.5T Pallet Stacker or 2.0T Pallet Mover
- WMS integration: read-only or minimal
- Fleet management: basic dashboard tier
Typical Outcome Range
- Operational confidence built within 8-16 weeks of operation
- Throughput on the piloted task: matches or exceeds manual
- Pilot-to-production conversion: ~80% of well-scoped pilots
- Lessons learned roll into multi-truck Phase 2 deployment
- Payback (single truck): 24-48 months — lower than full-fleet ROI
Implementation Timeline
- Week 1: Pilot scope definition + KPI agreement
- Week 2-3: Site survey + integration design
- Week 4-6: Truck procurement
- Week 7-8: Mapping + commissioning
- Week 9-10: Operator training + pilot go-live
- Months 4-12: Operation + monthly KPI review + Phase 2 decision
Want Modelling for Your Site?
Each of the scenarios above represents a class of deployment, not a specific customer. Your site will have its own throughput profile, building constraints, and integration requirements that change the fleet composition and outcomes. Site-specific modelling gives you accurate fleet sizing, capex, 5-year TCO, and payback period before you commit.