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Packaging
Quality

- Detection of damaged or deformed packages

- Verification of proper placement and sealing of packages

- Detection of misaligned stacks

- Identification of packaging defects

- Automated recording of packaging quality

- Automatic recording of nonconformities and real-time alerts

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BENEFITS FOR COMPANIES​

- Reduction in packaging errors

  Automatically identifies process flaws, ensuring that the product is packaged according to defined requirements.

- Reduction in returns and complaints

  Detects problems before shipment, preventing incorrectly packaged products from reaching the customer.

- Greater consistency in quality

  Ensures that the same quality criteria are applied across all facilities, regardless of the operator or shift.

- Data and evidence for audits

  Automatically records the checks performed, providing proof of the packaging process’s compliance

- Reduced operating costs

  Less waste, rework, repackaging, returns, and manual interventions.

- Increased productivity

  Automatic validation reduces manual checks and allows teams to focus on other tasks

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Case Study - Manufacturer of Packaged Food Products.

COMPANY SIZE

​One main factory and one secondary factory

Integrated logistics warehouses

380 to 450 employees

Wholesale and retail customers

LOGISTICS OPERATIONS

11,000 to 18,000—daily cases of various products

480 to 650—daily pallets

+170—customers

40 to 65—different daily shipments In-house transportation

Problem: Pallet Shipping

​PALETTIZATION PROBLEMS in 2.82% of pallets

    Damaged palletized boxes

    Misaligned stacks

​

INVENTORY AND SHIPPING ERRORS: approximately 1.76%

   Missing or excess boxes

   Mix-up of SKUs

   Discrepancies with the WMS order

​

CUSTOMER COMPLAINTS: approximately 2.63% of deliveries

   Compensation, returns, and rework

   Customer dissatisfaction

 

NOTE: In most cases, these problems are only detected by the customer

Implemented Solution: Automatic Visual AI Validation

Computer Vision System that inspects each pallet before shipment

   Visual AI analyzes and ensures:

      - Palletizing quality and compliance

      - Correct number of boxes

      - Compliance with the WMS order

      - Real-time inventory data

 

NOTE: If any non-conformities are found, the pallet is flagged before leaving the warehouse via a real-time alert and an automatic report.

Impact After Implementation
On Operations

+91%

reduction in palletizing nonconformities

+88%

reduction in shipping

quantity errors

+82%

reduction in

customer complaints

On Business

Reduction

in Operating Costs

Fewer

Returns and Rework

NOTE: Estimated payback period: 2.6 years

Greater

Shipping Reliability

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