Intelligent Commerce: Integrating AI, Analytics, and Unified Systems

Retailers missing key tech solutions could face fulfillment failures and customer frustration this season, according to Kibo and IHL Group survey

Get insights into:

Understand why companies leveraging AI/ML experience up to 134% higher profit growth.
Learn how AI/ML are helping retailers maintain optimal inventory levels, forecast demand, and improve customer retention by meeting expectations more effectively.
Where ‘sales laggards’ are falling short when it comes to their tech stack and how it could negatively impact their businesses.

Don’t let tech gaps threaten your digital commerce success

Based on insights from the Kibo and IHL Group Survey of over 300 retailers across sectors like apparel, electronics, and home goods, this report reveals the pivotal role AI, unified systems, and inventory visibility are playing in modernizing order management, enhancing customer experiences, and increasing profit margins. Responses were gathered through online questionnaires and in-depth interviews with industry leaders, including supply chain managers and IT decision-makers, delivering both quantitative insights and valuable qualitative perspectives.

Key Findings:

Retailers with outdated legacy order management and inventory systems lacking real-time visibility or disconnected platforms are particularly vulnerable to losing significant revenue this season.
Without intelligent, data-powered systems, retailers may face profit reductions as high as 134% compared to competitors who leverage AI and machine learning for inventory and fulfillment optimization.
Well-integrated, AI-powered order management system (OMS) can make all the difference in avoiding these high risks.
With AI, inventory forecasting is more accurate, reducing out-of-stock and overstock situations by 60%.
Nearly half of the study’s respondents who adopted AI-driven systems reported growth rates more than 2.5 times higher than those using traditional, manual processes.