By: Ranjani Narayanan
Inventory management—from ordering raw materials to tracking finished products—has undergone a dramatic transformation in recent years. Robotics, artificial intelligence (AI), and radio frequency identification (RFID) continue to automate and reshape inventory processes that, not so long ago, were largely manual and labor-intensive. These advances have delivered better data, real-time visibility, and even sustainability benefits.
But one area of this inventory revolution isn’t automated: updating internal
controls over financial reporting (ICFR). As inventory management evolves, internal audit teams need to rethink and update internal controls. Now, let’s explore some practical strategies for modernizing and adapting ICFR to keep pace with the new reality in inventory management.
In today’s highly automated inventory environments, traditional controls—including physical inventory counts, paper-based approvals, and manual reconciliations—are no longer enough. Why? Because inventory automation brings fresh risks: data integration issues, system misconfigurations, and process changes that could allow errors to creep in unnoticed.
Consider what happens when an RFID tag is missing or missed by a reader or when data fails to synchronize between the warehouse management system (WMS) and enterprise resource planning (ERP) platforms. These invisible errors can directly impact financial results—and may go unnoticed until a misstatement is discovered during an audit.
The situation becomes even more complex when third-party vendors manage elements of the inventory process such as RFID tagging or robotic pick-and-pack. In these cases, organizations should extend resilient controls beyond their own walls, deepening the reliance on vendor-provided System and Organization Controls 1 (SOC 1) reports and focused contract governance.
All this begs an important question: Can automated inventory management systems deliver complete and accurate data, or are traditional physical inventory counts still needed? While automated counts are appealing, auditors must determine if the data these systems provide is reliable.
Here’s the irony: Some companies find it challenging to prove with statistical rigor that automated cycle counts are resilient enough and accurate on their own. Without clear regulatory guidance or evidence of effective monitoring, many auditors still default to increased physical testing, especially in the absence of thorough control documentation.
All this begs an important question: Can automated inventory management systems deliver complete and accurate data, or are traditional physical inventory counts still needed? While automated counts are appealing, auditors must determine if the data these systems provide is reliable.
The promise of automation is considerable but not universal. Some technologies excel at tracking serialized, shelf-stable items, but struggle with bulk inventory, mixed-lot bins, or high-movement SKUs. These blind spots—and the ever-present risk of unrecorded transfers or manual error—mean that human oversight and well-designed controls are essential.
As organizations implement inventory automation, audit leaders and control owners should consider a combination of controls across the following focus areas:
Readiness for tomorrow
As automation transforms inventory management, it’s also reshaping audit practices. For chief financial officers, controllers, and audit teams, now is the time to refresh internal control frameworks, clarify roles—especially around system oversight and exception handling—and engage auditors early to align on evidence expectations.
The future will require deeper technology fluency, stronger collaboration with third-party vendors, and a willingness to modernize control and testing strategies. With the right preparation, automation can become a source of control strength—not a new weak spot.
Deloitte can advise you on implementing a modern internal controls framework across your inventory management function. We can assist with embedding next-gen, compliance-ready controls by conducting a risk and controls assessment, integrating AI and automation to reduce manual processes, and updating controls as technology and regulations evolve. To learn more, visit our Internal Audit services page, contact your Deloitte representative, or reach out to me directly.
The services described herein are illustrative in nature and are intended to demonstrate our experience and capabilities in these areas; however, due to independence restrictions that may apply to audit clients (including affiliates) of Deloitte & Touche LLP, we may be unable to provide certain services based on individual facts and circumstances.
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Ranjani, a principal in Deloitte & Touche LLP, is known as an innovator, with more than 20 years of experience. She leads our US Chief Audit Executive (CAE) Program, which offers opportunities for CAEs to network with peers, learn more as leaders, and reshape the landscape of internal audit (IA) within their organization and the profession. Ranjani co-leads the Deloitte Agile IA practice, focused on developing the Agile IA framework and roll out strategy and building eminence in the marketplace. She also leads IA services to one of our largest retail and media clients, helping them with their strategy and compliance activities. Previously, Ranjani served as Chief of Staff to the Consumer Industry leader, helping develop, roll out, and manage multiyear growth and revenue strategy.