Greg Hoole
Operations Director, Smart Solutions
AI doesn't replace our team's expertise, it elevates it. We automate the repetitive, accelerate the technical, and ship faster without cutting corners. You get to market sooner, with cleaner code and a team that's focused on strategy, not overhead.
AI-Assisted eCommerce Development
Applied intelligence improves development productivity when integrated into well-defined processes. Rather than replacing technical expertise, it augments teams by accelerating repetitive tasks, surfacing potential defects earlier, and strengthening quality control practices.
We incorporate intelligence-assisted development directly into engineering workflows to improve development efficiency and quality control. This includes:
- Accelerating code generation for routine development tasks
- Expanding automated testing coverage to detect issues earlier
- Strengthening code review processes to improve consistency and maintainability
- Identifying defects and edge cases before production deployment
These systems allow developers to focus on higher-value engineering work while improving defect detection and development consistency. The result is faster delivery timelines, improved budget efficiency, fewer production defects, and greater predictability across complex implementations. Intelligence acceleration is not a separate capability; it is embedded directly into how engineering work is executed.
AI for Personalization & Product Discovery
As product catalogs expand and buying journeys grow more complex, customers expect faster discovery, relevant recommendations, and immediate assistance. Applied intelligence is moving beyond assistive features toward systems that interpret intent and take action within the buying experience.
We identify where intelligence can meaningfully improve the customer journey and implement capabilities through native platform features or carefully integrated technologies. Each implementation aligns with operational workflows, data availability, and measurable revenue impact.
These capabilities improve product discovery, strengthen purchasing confidence, and increase conversion efficiency while enabling more agent-driven experiences as systems evolve.
Personalization & Product Discovery
Generic product presentation rarely reflects how customers actually shop. Applied intelligence allows platforms to dynamically adjust recommendations, merchandising logic, and promotional content based on behavioral and contextual signals. As capabilities advance, these systems continuously optimize product visibility and sequencing based on real-time intent, reducing reliance on manual navigation.
Personalization is implemented using native capabilities or, where needed, purpose-built solutions. We ensure alignment with merchandising workflows while improving relevance, conversion efficiency, and average order value.
Customer Support & Assisted Sales
Customers expect immediate answers while evaluating products or completing purchases. AI-assisted support systems resolve common questions quickly while capturing sales opportunities that might otherwise be lost. These systems increasingly guide product selection, recommend alternatives, and move customers forward at key decision points.
We implement support solutions aligned with product complexity, customer expectations, and operational workflows, reducing ticket volume, improving response times, and increasing conversion rates.
Intelligent Search & Merchandising
Search is a primary driver of eCommerce revenue. When customers cannot quickly find what they need, purchasing intent declines. Intelligent search systems interpret intent, correct errors, and surface relevant results, even with incomplete queries. More advanced implementations actively influence merchandising by prioritizing products and adapting rankings based on performance signals.
We implement enhanced search and merchandising capabilities that drive measurable improvements in discovery, conversion, and operational efficiency.
AI & Automation for eCommerce Operations
Artificial intelligence and automation introduce powerful capabilities across modern eCommerce environments, but without clear structure, they can create more complexity than they remove. Common issues include:
- Fragmented systems that fail to integrate across the commerce architecture
- Inconsistent outputs that undermine reliability and trust
- Automation initiatives that increase operational complexity
The challenge is rarely about capability; it’s about structure. Organizations often adopt intelligent systems reactively, leading to overlapping tools, unclear ownership, and experimentation with limited measurable impact.
We identify where intelligence and automation improve operations and implement solutions that integrate cleanly with existing platforms, workflows, and data. Each implementation is aligned to clear performance expectations so systems operate reliably as complexity grows.
Applied where it matters most, intelligence improves decision-making, accelerates execution, and enhances customer experience while delivering measurable operational efficiency and business impact without introducing unnecessary complexity.
