Tote vs GK Software:
Quantum leap or
incremental steps?

AI-native point-of-sale built specifically for fuel and convenience, not a general retail platform shoehorned into our industry

GK Software launched their fuel and convenience offering five years ago, built by many of the same people who created legacy systems at NCR. They may talk about being modern, cloud-first, and AI-powered, but under the hood, it's the same thinking from the same playbook. An improved version of what came before, not a reimagining of what's possible.

Tote represents a quantum leap. Built specifically for fuel and convenience from day one, with AI native to the platform foundation, not retrofitted as bolt-ons. We didn't improve the old way of doing things. We reimagined what's possible when you start fresh.

The difference? GK gives you building blocks that require extensive professional services to configure. Tote gives you a solution built specifically for fuel and convenience that works without lengthy professional services contracts.

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What to look for

Modern point-of-sale should unlock growth and create opportunities to optimize operations. Here’s what you should look for:

Built Specifically for Fuel & Convenience Retail

Platform designed specifically for forecourt-to-checkout operations, not adapted from general retail

Deep understanding of fuel and convenience workflows, not generic retail processes

"One customer, one cart" architecture that unifies pump and in-store shopping

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AI-Native Architecture, Not Bolt-On Solutions

AI natively built into the platform foundation from day one, not retrofitted as separate products

Agents that query live system data and take actions, not just search static documentation

Multi-agent collaboration embedded in the architecture, not future roadmap promises

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Rapid Deployment on Existing Infrastructure

Runs on your current hardware: Windows, Linux, iOS, or Android

Weekly cloud releases vs. lengthy enterprise deployment cycles

No forced platform migration or ecosystem lock-in

Revenue-Generating Consumer Experiences

Multi-touchpoint consumer engagement from forecourt to checkout

Frictionless loyalty signup that actually drives conversion

Persistent cart across all touch points without complex integrations

Transparent, All-Inclusive Pricing

Core AI capabilities natively integrated, not retrofitted bolt-ons

No separate products to license and integrate (AIR, Engage, Drive modules)

Pre-built integrations included, not itemized professional services fees

Clear per-site pricing vs. complex multi-product licensing plus implementation costs

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Associate Productivity Through Embedded AI

Real-time AI support built into POS workflow, not a separate application

Multi-language support with live system data, not just documentation retrieval

Automated support ticket creation with full context

Tote vs GK: There's no comparison.

Industry Focus

Tote is built specifically for fuel and convenience. GK adapts a multi-format retail platform.

AI Infrastructure

Tote's AI is natively built into the platform foundation. GK retrofits AI as separate modules requiring additional licensing and integration.

Speed to Value

Tote deploys rapidly on existing hardware. GK requires enterprise-scale implementation projects.

Implementation and Professional Services

Tote minimizes professional services overhead. GK's building-block approach requires extensive configuration and professional services.

Platform Approach

Tote provides an integrated solution. GK requires licensing multiple products for full functionality.

Revenue-Generating Experiences

Tote's unified cart drives revenue. GK's multi-format approach lacks fuel-specific innovation.

Implementation & Integration

Tote works with existing infrastructure. GK requires platform overhaul.

A Quantum Leap, Not Incremental Steps

GK Software improved on legacy systems. Better than what came before, but still rooted in the same thinking. Many of their team came from NCR, bringing the same enterprise platform approach. They may call it cloud-first and AI-powered, but under the hood, you'll find old architecture dressed up in modern language. Their highly configurable platform means flexibility, but it also means lengthy gap analyses, extensive professional services engagements, and months before you see value.

Tote was built specifically for fuel and convenience retail. We work with implementation partners too, but because our platform was designed for this industry from day one, deployments are measured in weeks, not quarters. Pre-built integrations are included, not billed separately. AI capabilities are natively integrated into the platform foundation, not retrofitted as add-on modules requiring separate implementation projects.

Why settle for incremental steps when you can make a quantum leap in performance?

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