2 Asset

Fulfillment execution
built around how your operation actually runs

VARGO® designs, integrates, and continuously improves complex retail fulfillment systems — connecting people, automation, software, and data from assessment through go-live and beyond.

No two fulfillment operations are alike. We start with yours
Trusted by industry leaders
Operating reality

Fulfillment is where margin, customer promise, and operational reality collide

Every order has already been earned by the time it reaches fulfillment. But how that order is executed determines how much revenue the retailer keeps — and whether the customer promise holds under pressure.

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Cost pressure is rising

Fulfillment cost, labor hours, space, split shipments,
exceptions, returns, and processing time all shape margin.

Automation has added complexity

More vendors, more systems, more handoffs, more
interdependencies — but not always more control.

Execution has to hold under real conditions

Peak demand, labor variability, channel conflict, legacy
systems, and existing facilities that cannot stop.

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The VARGO® Approach

We don’t start with a technology.
We start with the operation

The same volume, channel mix, or automation footprint can hide very different operating realities. That’s why fit matters before anything gets designed.

01

Assess
the operating reality

Volume patterns, peak shapes, SKU velocity, channel mix, labor model, automation footprint, and capital appetite.

02

Design
the execution model

VARGO® aligns systems, workflows, suppliers, automation, and teams around the way the operation actually needs to run.

03

Improve
performance after go-live

Once execution is stable, operational data becomes the foundation for continuous optimization.

VARGO® helped us scale fulfillment in a way that improved
throughput and created consistent operations under peak demand.

Juan Doe, Company AB

Solution fit

Four fulfillment models.
One execution philosophy

Each model gives the conversation a starting point. The right answer depends on volume, channels, labor reality, capital appetite, and how work actually moves through the facility.

GAP enhanced

High-Volume eCommerce

For high-throughput parcel environments where speed, flow, and sorter utilization matter.

1 Right Sized Fulfillment

Right-Sized Fulfillment

For moderate-volume operations that need efficiency without enterprise-scale capital investment.

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Goods-to-Person

For high-SKU operations where labor productivity and station balance are the core challenge.

AE Ommni

Omnichannel Fulfillment

For retailers serving eCommerce, retail, wholesale, or multiple channels from shared inventory.

Anchored by COFE®

One execution engine. Configured to your floor

COFE® is the execution layer that keeps work moving across people, automation, and systems in real time.

Instead of pushing work in frozen waves, COFE® pulls work as capacity opens — continuously adapting to what is happening on the floor.

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Continuous pull execution

Work is released as capacity opens, keeping flow steady.

Real-time decisioning

Priorities are re-evaluated as urgency, efficiency, and floor conditions change.

System-wide synchronization

People, automation, inventory, and workflows stay coordinated as conditions shift.

Proven at scale

VARGO® delivers measurable results in complex retail operations

gap
Case study

Scaling fulfillment operations

VARGO® helped Gap rearchitect fulfillment around COFE®, coordinating labor, automation, and inventory in real time to support high-volume execution under peak demand.

GAP CASE STUDY 01
Order cycle
< 0

MIN

Average pick UPH
0

+

E-commerce units capacity/day
0

K+

99%+

Sorter utilization.

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Labor cost reduction.

Torrid scaled

           VARGO® partnered with us to create a unified fulfillment operation across channels. We experienced better service level, higher utilization, and better volume.”

Selected Partners
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See fulfillment execution in action

Visit a VARGO®-powered site, explore COFE® in a live operating context, or start with an assessment of your own operation.