State of the industry

The true cost of human error in logistics

In logistics operations, even small execution errors — from mis-picks to missed scans — can quickly compound into delayed shipments, rework, returns, and customer dissatisfaction across high-volume operations.

$1T
Supply chain disruptions and operational inefficiencies cost businesses nearly $1 trillion annually.
23%
Warehouse picking errors account for up to 23% of operational fulfillment inefficiencies.
30%
Returns increase by up to 30% when fulfillment and packing errors are not caught before shipment.
76%
Customers expect consistent, on-time delivery at a rate of 76%, increasing pressure on warehouse execution. 
Example use cases

Detect & correct errors before they become costly mistakes

Reduce rework, recalls, and downtime resulting from human error and inconsistent execution by embedding AI-powered error detection, corrective guidance, and quality assurance checks directly into your frontline workflows.

Strivr embeds quality assurance directly into frontline execution by detecting issues in real time and providing operators with corrective guidance on how to fix them before they impact speed, accuracy, and productivity.

Precision picking & packing

Missing and incorrect items are flagged before packages are sealed, preventing costly rework and returns

Equipment inspection

Missed steps and mechanical issues are flagged in real time, ensuring inspections are completed accurately and consistently

Loading & staging

Incorrect pallet placement or sequencing is flagged before trucks are loaded, preventing downstream delivery issues

Scanning compliance

Missed scans and improperly placed barcodces are flagged in the moment to ensure full traceability and system accuracy

Returns processing

Incorrect sorting and handling is detected early to maintain accuracy and speed in reverse logistics

Safety compliance

Mistakes, missteps, and safety hazards are immediately caught and corrected before they result in accidents and workplace injuries

What kinds of errors can Strivr AI detect?

Smart glasses integration allows Strivr AI to “see” what your workers see in real-time — enabling instant, hands-free detection of operational errors, inconsistencies, missed steps, missing components, and safety violations that occur within workers’ field of view. In other words, if an issue or error is visible to your worker, Strivr AI will see it and detect it.

How does Strivr AI know if and when a mistake has been made?

Strivr builds customer-specific visual language models (VLMs) to detect when a procedure or task is incorrect, incomplete, or out of sequence. VLMs are AI systems that combine computer vision and natural language processing to understand, interpret, and learn from image- and text-based inputs.

Our Engineering team trains your VLM using multimodal media files (images, videos, PDFs, etc.) that illustrate and/or describe how specific procedures, operations, and workflows are carried out at your company.

Strivr AI leverages this foundational knowledge base to visually compare a specific procedure against its internal understanding of what the “correct” steps for the procedure should look like.

If the execution of the procedure is visually inconsistent with the “correct” outcome, Strivr AI delivers voice-based, audio guidance via the built-in speakers on your workers’ smart glasses to inform them that a mistake has been made, then provides detailed instructions on how to fix it.

Does Strivr AI only work on smart glasses? What devices are supported?

Strivr AI is optimized for smart glasses because they enable hands-free user interaction, real-time interpretation of visual input,  and seamless delivery of voice-based guidance in the flow of work. Supported devices currently include Vuzix Smart Glasses and Ray-Ban Meta AI glasses.

Strivr AI also runs on Android smartphones and tablets for workflows that don’t require hands-free interaction, giving teams flexibility based on their needs, preferences, and working environment.

Does Strivr AI replace operators or automate tasks?

No. Strivr AI supports operators by helping them catch and correct mistakes in real time, improving operational efficiency, standardizing frontline execution, and enhancing output quality without sacrificing human control.

How is Strivr AI different from traditional training?

Training prepares workers ahead of time. Strivr AI supports workers while they work by detecting operational errors and delivering corrective guidance as tasks are performed in real time.

By providing workers with on-demand access to AI-powered guidance and quality assurance support whenever and wherever they need it, Strivr AI can help your team ramp new hires faster, accelerate onboarding, and reduce the need for extensive shadowing and constant supervision. Strivr AI is not intended to fully replace traditional training, but it can certainly be used to bolster, facilitate, and reinforce your current training program.
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