A Manufacturer's Guide to Evaluating QAD Adaptive for Lower Risk, Faster Value, and Long-Term Fit
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Nine chapters of practical insight for manufacturing leaders weighing a high-stakes ERP decision.
What changed in manufacturing and why familiar can be more expensive than new.
How a modernization moment creates a rare window to reassess long-term platform fit.
TCO beyond licensing: implementation, integration maintenance, retraining, and lost agility.
Manufacturing-first architecture, cloud-native delivery, real-time visibility, and AI readiness.
Actual operational gains — from manual trackers to automated workflows at the Wuhan plant.
Six evaluation criteria: business reality, platform readiness, AI fit, execution discipline, and more.
"What platform should power the next decade of our manufacturing operations, and does the path we are currently on actually lead us there?"
"Proud of the progress we continue to make in driving efficiency and positioning Tenneco Braking for a strong, future-ready transformation. Outstanding teamwork, collaboration, and execution all around."
Arista Consulting helps manufacturers assess whether their current ERP path supports the business they are trying to build, or simply preserves the systems they have outgrown. We bring manufacturing operations expertise — not just ERP configuration.
We evaluate whether your current ERP direction delivers on operational transformation — or just relocates existing problems to a new environment.
Proven deployment methodology built around production protection, disciplined testing, and stabilization protocols that keep manufacturing running through go-live.
Reusable configuration assets and lessons-learned transfer make each subsequent plant deployment faster, lower-risk, and less dependent on specialized consulting support.
Arista delivered the first global QAD Adaptive rollout at Tenneco's Wuhan plant — replacing SAP-based warehousing, automating shop floor workflows, and achieving full warehousing functionality in one month. — Tenneco Divisional CIO