How New Age Corporate Mobility Services Are Leveraging AI For Women's Safety

Ever since India opened its doors to economic liberalisation in the very early 1990s, the nation has undergone tremendous transformations. Self-reliance has been key in developing prestigious educational institutions, which further helped in taking strides in different fields of life keeping up with the fast-changing world. This shift has seen women who earlier stayed at home to attend to their domestic duties now maintain both work and home simultaneously, participating in the process on an equal footing with men in social and economic development. Women have shifted from traditional roles of being homemakers to being changemakers in social and business solutions.

A study by the International Labor Organization (ILO) reveals that 52% of women in India aspire to join the workforce to support their families and secure their livelihood. However, significant challenges persist, particularly regarding women working night shifts. The lack of adequate, safe, and reliable transportation options disproportionately limits their ability to take up such jobs, especially in areas where public transport is limited.

The risks associated with late-night commuting often deter women from pursuing these opportunities. Addressing these challenges is essential to creating a gender-inclusive work environment that ensures the safety of women working night shifts, allowing them to utilise their skills without fear. 

In this context, corporate mobility services and solutions play a pivotal role in highlighting these concerns and providing safe, dependable transportation solutions, enabling more women to work during unconventional hours. Providing reliable and secure transportation can empower women from all backgrounds to overcome geographical and safety barriers, enabling them to join the workforce.

Corporate mobility services and solutions can offer women greater flexibility in planning their commutes, giving them access to well-maintained vehicles with thoroughly vetted drivers, accompanied by security personnel (ride marshals), and equipped with real-time GPS tracking. These features can directly address the unique safety concerns of employees working late or irregular shifts. 

How New Age Corporate Mobility Services Are Leveraging AI For Women's Safety

Also, new-age corporate mobility providers have started leveraging AI to efficiently manage 24-hour workforce shifts, particularly benefiting women. By integrating supervised learning for accurate travel time predictions and reinforcement learning for cab dispatch, mobility providers have been utilizing historical data to predict travel durations and optimise driver assignments, ensuring fair distribution and maximum efficiency. 

This advanced AI-driven approach helps manage thousands of trips daily with high precision and reliability, automating key aspects of transportation management to guarantee that women working night shifts can travel safely, efficiently, and without concern. The benefits of such corporate mobility solutions for women working night shifts are both significant and clear.

This Corporate Mobility solutions go beyond simply enhancing safety and reducing traffic congestion. It demonstrates how business interests can align with the values of inclusiveness and accountability. By minimizing the time women spend commuting, particularly during late hours, companies can boost productivity and create more supportive work environments. The introduction of new safety protocols in corporate mobility solutions is set to transform the professional landscape for women, enabling them to achieve success while ensuring their security. The path ahead leads towards inclusivity, safety, and empowerment.

As organizations committed to this cause, they aren’t just improving women’s mobility in the corporate world—they are shaping a future where women can thrive professionally, with the assurance of safety at all hours.  

Authored by Kavitha Ramachandragowda, Co-Founder and Executive Director, Routematic. Views