Suspects of killing an iPhone delivery man are arrested in India

2024-10-02 22:15:00

Police in Lucknow, in northern Indiaarrested two men involved in the murder of 30-year-old delivery man Bharat Sahu, after he delivered a iPhone. The information are from the British website The Independent.

The suspects, identified as Gajanan e Akashwould have ordered the device through the website Flipkart and chose the payment on delivery option (Cash on Deliveryor COD), a common purchasing method in the region.

According to the police, the crime occurred last Monday, September 23, when Sahu went to Gajanan’s residence, in the Chinhat neighborhood, to deliver an iPhone valued at 150,000 Indian rupees (around R$9,700). ; the model was not specified.

Upon arriving at the scene, the delivery man was surprised by the two men, who allegedly strangled him and placed his body in a bag. Security cameras recorded when one of the suspects carried the body on a scooter.

Worried about his disappearance, Sahu’s family members filed a police report two days later. The victim’s body was found floating in the Indira Canal, days after the crime.

After analyzing call records from the victim’s cell phone, the police traced Gajanan’s number and began investigations. During Akash’s arrest, he confessed to the crime but did not explain the exact reason for the murder.

Although the motivation has not been clarified, it is believed that the crime was committed to avoid paying for the iPhone, whose value is considered high. The police, however, do not rule out other lines of investigation.

Flipkart, the platform on which the purchase was made, has not yet commented on the incident. In interview with India TodaySahu’s relatives said the company is yet to contact them. The investigations remain ongoing.

via AppleInsider

1727909308
#Suspects #killing #iPhone #delivery #man #arrested #India

Share:

Facebook
Twitter
Pinterest
LinkedIn

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.