Mahindra & Mahindra's subsidiary Classic Legends, which relaunched Jawa Motorcycles in India, has introduced a "Delivery Estimator" feature for Jawa and Jawa Forty Two bikes on the two-wheeler brand's website.
The iconic two-wheeler name was reintroduced in India on November 15, 2018, with three new models -- Jawa, Jawa Forty Two and Jawa Perak. The deliveries of Jawa and Jawa Forty Two models started in March 2019. The company has also brought out the official accessories and riding gear that the bikers can pair with the two-wheelers.
Powering Jawa and Jawa Forty Two is the same 293 cc, liquid cooled, single cylinder, DOHC engine that makes 27 bhp and 28 Nm of torque. The motor complies with BS-VI norms. The standard Jawa and Jawa Forty Two models are priced at Rs 1.64 lakh (ex-showroom, Delhi) and Rs 1.55 lakh (ex-showroom, Delhi), respectively. The dual channel ABS variants of Jawa and Jawa Forty Two models cost Rs 1.73 and Rs 1.64 lakh, respectively. The motorcycles are manufactured at the company's Pithampur plant in Madhya Pradesh. The ARAI certified mileage of both the bikes is 37.5 kmpl.
The customers who had booked Jawa and Jawa Forty Two models online starting from November 15, 2018, have been inquiring about a definite period of delivery. The Delivery Estimator is the first step towards answering their queries and will provide customers with the latest information on the delivery status of their Jawa motorcycles.
The new delivery estimator feature is currently available only for those customers who had booked the motorcycles on or before December 25, 2018. They can visit the Delivery Estimator section on Jawa website and check the current status and "estimated" delivery timeframe. At the moment, the new feature does not show the delivery estimate of dealership bookings made after December 25, 2018. However, the company is working make the facility available for them as well.
However, one will have to keep in mind that the Delivery Estimator is dynamic in nature and does not give an exact date of delivery owing to constraints like logistics, natural calamities, traffic situations and unforeseen production bottlenecks.