Kardex Enhances StoreX Calculator for AutoStore Planning and Expansion

Why It Matters

The calculator gives logistics leaders quantifiable insight, cutting planning cycles and improving ROI for automated storage expansions.

Key Takeaways

• StoreX now models long‑term AutoStore expansions with real data
• Scenario tool predicts cost, timeline, footprint for grid changes
• iAutomate integration digitizes pre‑sales, cutting sales cycle time
• Supports brownfield optimization over costly greenfield projects
• Enhances transparency, aiding executive decision‑making

Pulse Analysis

AutoStore’s modular grid has become a cornerstone of high‑density warehousing, yet many firms still rely on rough estimates when scaling. As e‑commerce volumes surge and SKU assortments broaden, the pressure to expand existing footprints without disrupting operations intensifies. Traditional planning methods often produce fragmented cost and schedule forecasts, leading to overruns and delayed ROI. Modern supply‑chain leaders therefore demand tools that translate live system data into actionable expansion blueprints.

The upgraded StoreX Calculator answers that demand by integrating iAutomate’s digital sales‑automation platform with Kardex’s deep AutoStore expertise. Users can input real‑time throughput, robot utilization, and inventory turnover to generate multiple growth scenarios. Each scenario outputs a detailed cost model, implementation window, and footprint impact, allowing finance and operations teams to align on a financially sound business case. By automating design, costing, and ROI analysis, the solution trims pre‑sales effort, shortens sales cycles, and creates a seamless digital buyer experience for integrators and end users alike.

Beyond the immediate efficiency gains, the tool signals a broader industry pivot toward brownfield optimization. Companies are increasingly choosing to augment existing high‑density nodes rather than invest in costly greenfield builds, seeking to extract maximum value from current assets. StoreX’s scenario‑based reporting equips executives with the transparency needed to justify incremental upgrades to stakeholders and investors. As automation adoption accelerates, such data‑driven planning platforms will become essential for maintaining competitive advantage and ensuring sustainable growth in the ASRS market.