Unlock In-Store Inventory Visibility

Inventory analytics that extend loss detection beyond checkout.

Secure Inventory enhances EBR by extending loss detection beyond checkout—identifying theft and fraud before products reach the register and after returns. Uncover stockroom theft, falsified damages, shrink manipulation, shipment errors, unpaid vendor credits, and more for a complete loss prevention strategy.

The challenge

Traditional inventory systems track product locations but miss where losses occur. Designed for supply chain efficiency, they ensure product flow but overlook theft, fraud, and operational risks. That’s where Appriss Retail steps in providing the insights needed to detect and prevent loss.

The solution

Secure Inventory bridges the gap left by traditional inventory management systems. It automates anomaly detection, enabling retailers to proactively address fraud, theft, and operational challenges before products reach checkout— directly impacting the bottom line. Without it, teams must manually sift through massive data sets, hoping to spot patterns. Secure Inventory leverages advanced AI and anomaly detection algorithms to instantly identify suspicious inventory records, delivering faster, more accurate results.

Gain Deeper Insights Into Your Business With Secure Inventory

• Warehouse Shipments (BOL): Identify products that don’t arrive as expected, helping ensure inventory accuracy.
• Vendor Direct to Store Data: Detect over-shipments, under-shipments, and potential vendor manipulation, improving supply chain transparency.
• Store Transfers: Identify products that go missing during transfers, highlighting shipping and inventory issues.
• Consumer Returns: Pinpoint return fraud, missing returned merchandise, and excess inventory, ensuring proper handling of returns.
• Adjustments: Detect adjustment manipulation, return fraud, and back-of-room theft to maintain accurate inventory and financial integrity.
• POS: Correlate transaction data to support exception based reporting (EBR) findings, improving loss prevention efforts.
• Theft Data: Correlate theft incidents with missing inventory to validate theft occurrences and identify patterns.
• Return to Vendor Data: Identify missing store credits and waste/damaged merchandise, ensuring accurate vendor return management and financial reconciliation.