Increase throughput while lowering cost per unit.
As eCommerce order volume grows, releasing orders in scheduled waves can create bottlenecks in one part of the operation and idle time in another.
Orders are released and routed in real time as capacity becomes available, so single- and multi-unit orders follow the appropriate fulfillment path while maintaining a continuous flow from picking through shipping.
Orders are continuously released to maintain pick density and increase utilization of human and automation assets.
Units are batch picked and conveyed to a unit sorter for order assembly, packing, and shipping.
As work is consumed, COFE® releases the highest-priority available work to keep a steady, even flow of work.
Increase in throughput and capacity.
Lower processing cost per unit.
Faster order completion times.
High-Volume eCommerce is designed for high-throughput parcel operations where increasing throughput and lowering cost per unit are the primary objectives. The matrix below shows how it compares with the other VARGO® fulfillment models.
| Dimension | High-Volume eCommerce | Right-Sized Fulfillment | Goods-to-Person | Omnichannel Fulfillment |
|---|---|---|---|---|
| Typical daily volume | 50K–300K+ orders/day | 5K–50K orders/day | 10K–150K orders/day | 25K–200K combined orders/day |
| Order & inventory profile | 25K+ SKUs; single- and multi-unit parcel orders | 5K–30K SKUs; multi-item consolidation | 25K+ SKUs; broad assortment | High-SKU; shared inventory; mixed order types |
| Channels | eCommerce | eCommerce + some retail or B2B | eCommerce + retail replenishment | eCommerce + retail + wholesale + DC-to-DC |
| Fulfillment approach | Conveyor + unit sortation | Manual flow + targeted automation | ASRS or AMRs feeding pick stations | Mixed automation + shared resources |
| Primary objective | Increase throughput and lower cost per unit | Efficiency through selective automation | Increase output with available labor | Balance channels from one inventory pool |
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VARGO® helps determine the right model—or combination of models—based on how your operation actually runs.
