Wide gap between desire and use of AI in inventory management signals looming demand surge
Executive summary: A survey of 400 warehouse and operations professionals showed 81% want to incorporate AI in inventory management, but only 11% presently do. The sizable unmet demand points to a potential expansion of AI‑enabled inventory solutions, affecting software providers, investors, and supply‑chain efficiency.
Who is involved: Inventory management professionals, software providers such as inFlow Inventory, AI solution vendors, and retail/logistics firms.
Likely next: Vendors will accelerate AI feature rollouts, retailers will launch pilot programs in Q3‑Q4 2026, and investment in AI logistics startups is expected to rise.
A recent survey of 400 inventory management professionals found that 81% want to adopt AI solutions, while only 11% currently use them. This large intention‑adoption gap suggests a forthcoming wave of investment in AI‑powered supply‑chain tools. Vendors that can deliver reliable, affordable AI features stand to capture significant market share, whereas those lagging may see slower growth.
Timeline
- — El 81 % de los profesionales de la gestión del inventario quiere incorporar la IA Apenas el 11 % la utiliza (PR Newswire)
Analysis — what this means
Likely next events
- Survey results to be presented at the Supply Chain Technology Conference on 2026-09-15, prompting vendor announcements.
- InFlow Inventory plans to release an AI-driven demand forecasting module by Q4 2026.
- Major retailers plan pilot AI inventory systems in Q3 2026 after seeing the survey.
- Investment in AI logistics startups projected to increase 15% YoY in H2 2026.
Sectors affected
- inventory management software
- AI logistics
- supply chain technology
- warehouse automation
Regulatory implications
- EU AI Act compliance requirements for high‑risk AI in logistics take effect August 2026, affecting new AI inventory tools.
Historical parallels
- Barcode adoption gap in 1990s retail: ~70% wanted adoption but only ~20% had implemented it.
- ERP software uptake in early 2000s: high interest but limited early adoption due to cost and complexity.