INDIA- Online food delivery platform Swiggy has launched an incognito mode feature that allows private orders.

Swiggy revealed the new feature is only available to 10% of its users but will be rolled out to all users in the near future.

According to the e-commerce platform, the new feature targets customers who wish to order discreetly, plan surprises or enjoy personal treats without leaving any order history in the application.

It is intended to safeguard privacy, allowing its users to make orders without the risk of their purchase history being visible to other users using the same account or the same device.

The new incognito mode feature is a response of the increasingly popular trend of sharing accounts among friends, families and partners.

Swiggy also revealed the new feature also targets users that purchase personal wellness products, which some users prefer to be discreet.

Rohit Kapoor, Swiggy’s CEO, welcomed the move by saying, “As social as our lives are becoming, there are still things we prefer to keep private, and incognito mode is designed to address that need.”

“Whether you’re ordering a meal or making a quick purchase, incognito mode ensures your choices remain private. We’re excited to offer our users a seamless experience that lets them enjoy Swiggy’s diverse offerings with enhanced privacy.

According to the online delivery company, the privacy focused feature is a reflection of its commitment to enhancing customer experience and operational efficiency, both on the user side and its partners.

The company has also recently ramped up its efforts to offer support to partner restaurants.

In April, the food delivery platform launched Smart Links, a tool used to convert digital engagements into sales, boosting restaurants’ online orders in the process.

The tool offers customized links that partner restaurants can share on their social media platforms, directing customers straight to their Swiggy menu page.

It also provides support to partner restaurants through offering insights on customer behavior after engagement with the link, including order placement and preferences.

This data is especially useful for partners that want to streamline their marketing efforts.

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