by Don Lindsey and Khoa To
Historically, sales order performance is often measured by volume: number of orders, revenue, lines processed, and/or shipment activity. As these measures remain important, they are lagging indicators. By the time order volume declines, a customer’s buying pattern may have been weakening for days, weeks, or even months.
A more proactive approach is to look beyond how much a customer orders and examine how orders are spaced over time. This is the foundation we will call Cadence Management: using the rhythm, consistency, and timing of customer orders to detect early changes in account health and respond.
In a QAD ERP environment, much of the required information for such a cadence process already exists. Sales-order history, customer master data, item data, and transaction history can be used to establish meaningful operational indicators without introducing a separate system or relying on disconnected spreadsheets. The objective is to turn everyday QAD data into an early-warning framework that supports better decisions across sales, customer service, planning, production, and fulfillment.
Concentrating on the following five measures provides a more coherent view of customer order behavior.
Run rate: The current pace of ordering, measured in orders, units, or revenue over a recent period.
Rhythm: The average time between customer orders.
Cadence Consistency: The degree to which order spacing is stable or variable over time.
Days From Last Order: The elapsed time since the customer’s most recent qualifying order.
Drift Indicator: The extent to which current order timing differs from that customer’s historical pattern.
Together, these measures can help distinguish normal variations from meaningful changes in demand behavior. For example, a customer may still have acceptable year-to-date revenue, but their normal 14-day ordering cycle may have stretched to 25 days. Revenue alone may not identify that risk, but cadence analysis brings it to management’s attention before the issue becomes a larger sales, inventory, or production problem.
Cadence Management also reinforces the importance of a disciplined end-to-end sales order process. Accurate customer, item, routing, lead-time, pricing, and capacity information enables realistic order promises. Available-to-promise and capacity-to-promise checks, planning integration, exception management, shipping execution, and post-order analysis all depend on reliable master data and consistent procedures.
Caution should be exercised so that this new Cadence Management framework does not become just another dashboard. It needs an operating rhythm of its own. A practical approach may include a weekly review of accounts showing increased drift, a midweek coaching or escalation discussion for open cases, and a Friday review to document recoveries, exceptions, and follow-up actions. Monthly parameter reviews and quarterly back-testing can ensure that thresholds remain relevant as customer behavior and business conditions change.
Organizations can segment accounts by cadence health categories.
- Priority partners to protect and grow
- Healthy accounts requiring limited intervention
- Watch accounts showing early drift
- At-risk accounts requiring prompt action
Sustainable growth is not created through occasional bursts of activity. It comes from stable, repeatable processes and the ability to recognize change early. By moving from volume-focused reporting to rhythm-focused management, organizations can use QAD data to improve responsiveness, protect customer relationships, and create a more resilient sales order process.
For more information, please watch our webinar Building a Sales Order Process for Sustainable Growth
Don Lindsey, CFPIM, CIRM, is a knowledgeable Implementation Project Manager, Trainer, and Business Analyst. He has been an implementation manager on several large, complex ERP projects and has worked with ERP systems since 2007 in Manufacturing, Systems Management, Service & Support, and Finance. Don has a diversified background in various manufacturing industries, from Medical to Electronics to Industrial to Consumer Products. He has spoken for many years at the APICS Conferences, having taught in the APIC Certification program at California State University at Fullerton for over 20 years.
Khoa To is Associate Director of Analytics at RxSight, a leader in light-adjustable intraocular lens technology. With a background in chemical and materials engineering from UC Berkeley and UC Irvine, and over two decades of experience spanning semiconductors, medical devices, and strategic analytics, Khoa specializes in building systems that align technology, people, and process. His work bridges operational precision with human-centered leadership, emphasizing clarity of intention, coherence of action, and trust as the foundation for sustainable performance—principles at the heart of his 2025 talk, Leading in the Recessive Values Era. You can reach Khoa at khoato@yahoo.com.
