Data-Driven  Supply Chain Intelligence Report

Independent research, market signals, and operator-informed analysis—updated continuously to reflect how supply chain technology is actually evolving.

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This Month in Supply Chain Technology

Agentic AI spending in supply chain is projected to hit $53B by 2030

Gartner's latest forecast signals a massive shift from simple AI assistants to autonomous agents capable of executing supply chain tasks independently. The industry is moving past pilots — organizations that invested in data foundations early are now scaling AI into daily planning and execution workflows.

project44 acquires LunaPath.ai, doubling down on execution-layer intelligence.

The acquisition of an AI-native logistics automation company marks a broader trend: visibility platforms are evolving into decision-making platforms. Expect more M&A activity as vendors race to embed agentic capabilities directly into freight and logistics execution.

Strait of Hormuz disruption is creating supply chain impact beyond the Covid-era benchmark.

The World Food Programme reports that the ongoing blockage is eclipsing pandemic-level disruption across global trade routes. Operators relying on single-mode shipping strategies are feeling the pressure hardest — modal flexibility is no longer optional.

The Data Behind the Trends

Key metrics from our ongoing research — quantifying adoption, investment, and satisfaction across the supply chain technology landscape.

WMS Satisfaction

6.2

0.4 vs H2 2025

What it means: Operator satisfaction with WMS platforms declined for the second consecutive half. Customization complexity and upgrade friction are the primary drivers.

AI Adoption Rate

34%

11% YoY

What it means: One in three supply chain orgs now uses at least one AI-powered tool in production. However, most deployments remain limited to demand forecasting.

Avg. Implementation

14 MO

Unchanged

What it means: Operator satisfaction with WMS platforms declined for the second consecutive half. Customization complexity and upgrade friction are the primary drivers.

Vendor Switching

22%

6% YoY

What it means: More organizations are exploring alternatives, with rising switching rates signaling dissatisfaction and lower switching costs.

Vendor Switching

Percentage of respondents ranking each as top-3 investment priority

What it means: WMS remains the #1 investment priority for the fourth consecutive year, but AI/ML has surged to #2, overtaking TMS. Robotics investment intent has nearly doubled since 2024.

Cloud vs. On-Premise WMS Deployments

Share of new implementations by deployment model, 2021–2026

What it means: The crossover point occurred in mid-2023. Cloud deployments now account for 68% of new WMS implementations — and the gap is widening. On-premise holds strongest in highly regulated verticals (pharma, defense).

Featured Analysis

The Real State of Warehouse Automation: What Operators Actually Experience vs. What Vendors Promise

Our Q1 2026 field assessment across 24 distribution centers reveals a persistent gap between vendor-claimed automation ROI and operator-reported outcomes. While 78% of facilities we observed had deployed some form of goods-to-person automation, only 31% reported achieving the throughput targets outlined in their original business cases.

The issue isn’t the technology, it’s integration complexity. Facilities using automation with legacy WMS see a 23% productivity drop during peaks. Successful deployments use unified control, dedicated teams, and phased rollouts.

Read full analysis

Key Signals by Category

Quick-read intelligence across each system category we track — tied to our ongoing research and vendor assessments.