Kaiserova wins TAPA award

BTN News
Wednesday, 10 July 2024

Ivca Kaiserova, senior manager EMEA Security and Loss Prevention at Amazon, is the 2024 winner of the ‘Young Supply Chain Resilience Professional of the Year’ Award, co-sponsored by the Europe, Middle East & Africa (EMEA) region of the Transported Asset Protection Association (TAPA).

In its second year, the award aims to recognise the outstanding young talent excelling in the supply chain security industry and help to promote careers in the sector.
Entrants were asked to produce a 1,500-word submission on an innovative cargo security or supply chain resilience initiative they have developed or contributed significantly to, including addressing new or emerging security threats to supply chains.
Kaiserova’s winning entry was based on her work on ‘The Predictive Threat-Based Design’ – a solution using data sources and other external intelligence data to minimise supply chains losses. The tool analyses all absorbed data and, using machine learning, monitors trends to predict which loads and lanes need to be categorised as A, B or C risks.
These respective categories of risks are then matched with a pre-defined security package.
The application process for the 2025 ‘Young Supply Chain Resilience Professional of the Year’ Award will open at the end of Q1 next year.

Kaiserova wins TAPA award

BTN News
Wednesday, 10 July 2024

Ivca Kaiserova, senior manager EMEA Security and Loss Prevention at Amazon, is the 2024 winner of the ‘Young Supply Chain Resilience Professional of the Year’ Award, co-sponsored by the Europe, Middle East & Africa (EMEA) region of the Transported Asset Protection Association (TAPA).

In its second year, the award aims to recognise the outstanding young talent excelling in the supply chain security industry and help to promote careers in the sector.
Entrants were asked to produce a 1,500-word submission on an innovative cargo security or supply chain resilience initiative they have developed or contributed significantly to, including addressing new or emerging security threats to supply chains.
Kaiserova’s winning entry was based on her work on ‘The Predictive Threat-Based Design’ – a solution using data sources and other external intelligence data to minimise supply chains losses. The tool analyses all absorbed data and, using machine learning, monitors trends to predict which loads and lanes need to be categorised as A, B or C risks.
These respective categories of risks are then matched with a pre-defined security package.
The application process for the 2025 ‘Young Supply Chain Resilience Professional of the Year’ Award will open at the end of Q1 next year.