Cutting Through Inventory Complexity
for Transformation Success

In major ERP transformation, hidden complexity in inventory management becomes a silent threat. Over decades, processes multiply, variations creep in, and unused configurations accumulate, making inventory optimization increasingly difficult. When it’s time to implement a new system like SAP Vistex, these blind spots can drive up costs, slow down testing, and compromise go-live readiness. 

FUTUROOT eliminates that uncertainty.

By mining SAP event logs, our process discovery engine reveals how inventory truly operates — every flow, every movement type, every exception. What was invisible becomes clear, giving leaders the confidence to:

  • See the full scope of inventory scenarios. 
  • Separate what’s active from what’s obsolete.
  • Focus customization and testing only where it matters.
  • Build a cleaner, faster path to ERP transformation.
  • Strengthen business process harmonization across the supply chain.
  • This data-driven clarity directly supports supply chain process optimization, warehouse process optimization, and readiness for any major transformation initiative.

See FUTUROOT in Action

A leading UK foodservice distributor used FUTUROOT to uncover decades of hidden inventory processes and build a fact-based foundation for its SAP Vistex implementation. The company faced a significant challenge: its 20-year-old inventory system had become a black box, with only 12 documented scenarios and no visibility into which processes were active, redundant, or obsolete. Entering Vistex blind risked wasted customization, bloated testing, and a turbulent go-live.

FUTUROOT changed that. Through deep inventory process discovery, the platform uncovered 87 unique process variants—and eliminated 45% of redundant ones. The impact was substantial:

  • Exception rates dropped from 22% to 9%
  • Stock reconciliation cycles sped up by 30%
  • Test scope shrank by 35%, saving six weeks of UAT effort
  • SAP-related governance and control strengthened significantly