Benchmarks, trends, and predictions from operators running modern fulfillment. The definitive industry report for warehouse leaders.
of operators cannot see stock location in real time
Most still rely on periodic cycle counts or end-of-day reconciliation, leading to mis-picks and delayed dispatches.
plan to invest in AI or ML tools within 12 months
Interest is highest among mid-size operators (100k-500k sq ft) who see AI as a lever to compete with larger enterprises.
of warehouses still use spreadsheets for slotting decisions
Despite WMS adoption, manual slotting remains common, resulting in suboptimal space usage and longer pick paths.
higher error rate in facilities without real-time visibility tools
Operators with live dashboards and 3D twin technology report significantly fewer mis-picks and faster order cycle times.
Most operators lack real-time insight into inventory location and movement. This chapter quantifies the gap and its impact on fulfillment accuracy.
Nearly two-thirds of warehouses plan to invest in AI-powered tools this year. We break down adoption rates by warehouse size, industry, and geography.
Labor shortages, space constraints, and rising customer expectations are driving change. See how operators rank their biggest pain points.
Multi-client operators face unique challenges. This chapter explores SLA pressures, client onboarding, and technology stack fragmentation.
Pick accuracy, throughput, and space utilisation benchmarks segmented by industry, helping you compare your performance against peers.
Actionable strategies for operators at every maturity level, from basic spreadsheet users to advanced AI-driven warehouses.
The complete report includes industry-segmented benchmarks, operator quotes, technology adoption maps, and a practical roadmap for advancing your warehouse intelligence maturity.