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How AI and Analytics are Reinventing the Inventory Process

  • Writer: Insivue
    Insivue
  • Sep 15
  • 3 min read

Updated: Sep 26

How AI and Analytics are Reinventing the Inventory Process

Smarter Tracking and Forecasting


One of the biggest challenges in inventory management is knowing exactly what stock is available, where it is located, and how long it has been sitting idle. AI-powered systems transform this process by offering real-time visibility through barcode scanning, RFID tags, and integrated management software. These tools ensure that every movement—from receiving stock to selling goods—is tracked instantly, minimizing discrepancies.


Analytics further enhances this visibility by identifying trends in stock movements and customer demand. By analyzing historical sales data alongside external factors such as seasonality or market conditions, businesses can forecast demand with greater accuracy. This avoids the pitfalls of overstocking, which ties up capital and risks spoilage, or understocking, which results in lost sales and unhappy customers.


Automating Valuation and Reconciliation


Valuing inventory is not simply about counting items—it requires the application of costing methods such as FIFO, LIFO, or average cost. In a periodic system, this is often done at the end of the financial year, while perpetual systems attempt real-time valuation. Both approaches demand precision. AI can automate these calculations by applying the correct costing method consistently across transactions, ensuring that cost of goods sold (COGS) and ending stock values are always accurate.


Reconciliation is another area where AI shines. For example, when goods are received without an invoice, accounting systems often create a temporary liability. If not managed correctly, these can distort balance sheets. AI can automatically reconcile goods received with supplier invoices, flagging mismatches and ensuring that liability accounts are cleared promptly. This prevents last-minute surprises at financial year-end and supports compliance with accounting standards.


Tackling Shrinkage and Negative Inventory


Inventory shrinkage—caused by theft, damage, miscounts, or fraud—remains a persistent issue. Even a modest shrinkage rate can erode profitability significantly. AI-powered surveillance, anomaly detection, and predictive analytics can identify unusual stock movements, reducing losses and helping businesses recover lost profits. Similarly, when negative inventory appears due to data entry errors or misconfigured items, AI tools can pinpoint the cause, recommend corrections, and ensure accurate adjustments through automated journals.


Supporting Compliance and Private Use Tracking


Inventory doesn’t just affect financial management—it also plays a role in tax compliance. For businesses that use stock privately, such as cafes or retailers, items taken for personal use must be properly recorded and valued. AI can automate this process by tracking private usage against tax office guidelines, generating journals, and ensuring compliance without manual intervention.


Redefining Stocktake and Reporting


Stocktakes remain a cornerstone of inventory accuracy. Traditionally disruptive and time-consuming, they are being transformed by technology. AI-driven systems can assist with rolling counts, reconcile results instantly against the balance sheet, and highlight discrepancies before they escalate. Automated reporting then provides business owners and accountants with clear summaries of stock levels, purchases, sales, and valuations at year-end.


The Evolution of Inventory Management


The inventory process has evolved from manual counts and spreadsheets into a complex system of tracking, valuation, and compliance. AI and analytics are not only making these processes faster and more accurate but also turning them into strategic tools. By reducing errors, tackling shrinkage, and offering predictive insights, businesses can manage inventory more efficiently while freeing up working capital and safeguarding profitability.


In an era where margins are tight and customer expectations are high, embracing AI-driven inventory management is no longer optional—it is essential.


How AI and Analytics are Reinventing the Inventory Process

In this article, we explored how AI and Analytics are reinventing the inventory process. We highlighted how these tools can assist professionals in implementing best practices for managing inventory management information and streamlining stocktake processes. If you're looking to strengthen your business in a climate of rising inflation and interest rates, now is a great time to explore what analytics can do for you and to contact us today. Our team specializes in helping businesses unlock efficiency and growth through tailored, data-driven solutions—whether it's optimizing pricing strategies, customizing service offerings, enhancing client relationships, tracking expenses, improving financial controls, or forecasting revenue. We're here to help you find the right approach we can work with you for your goals.

 
 
 

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