Logistics companies are taking to technology to sort out their issues. Leading logistics companies like Delhivery, Opinio and Swiggy, face problems related to incorrect addresses, bad condition of roads, heavy traffic, and low internet connectivity, to name a few.
Tracxn, an analytics company, says that logistics firms are increasingly using technological solutions to tide over these issues to help them deliver on time. This is particularly necessary in the last mile.
Delhivery has a machine learning system. The system analyzes addresses and arranges them in a systematic single format, thus bringing down the possibility of mistakes. Therefore, the time spent by delivery personnel in locating an address has been brought down. This has increased the efficiency of deliveries by 25%. This by default has led to an increase in the number of deliveries.
Similarly, Opinio, Bangalore –headquartered logistics company has developed an app that tracks orders. How do you do that in the absence of proper maps? Quite simple.
Opinio’s co-founder Mayank Kumar explains, “When a guy delivers a product to a particular phone number, we store the data with the exact latitude and longitude so that it becomes easier the next time.”
Swiggy, a logistics firm that caters to food outlets has collected data to predict the average time that a restaurant will take on an order.
“We maintain an average delivery time of 36 minutes per order,” says Swiggy co-founder Sriharsha Majety.
Logistics companies are continuing to work on simple solutions to ease their woes. Leading companies are investing not only on their fleet of vehicles and personnel, but also in a good deal of R&D to help them bring down the error count.
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