The world has for a long time experienced traditional tennis racket manufacturers where tennis rackets have always been made from wood or metal have become common. Tennis rackets which have been used in the past do not have any technological features thus prompting the introduction of a tennis racket that can record particular data, thus ensuring that the game is generally improved.

The computerized tennis racket will have an advantage over the traditional rackets because it will ensure that coaches and players are given technical data on each ball struck. The new tennis racket will also be smaller and lighter as compared to the traditional ones thus making sure that the players can move it around with ease. Other additional features of the computerized racket include a sensor in its handle which will have the ability to store a large amount of data, including the range and number of shots that a player hits to the amount and power of spin. Through analysis of the data, it will be possible to establish specific metrics including whether an individual is putting in the adequate effort (Kahraman, Kaya &Çevikcan, 2011). The information that will be recorded can later be downloaded onto another device like a smartphone, computer or a device that is hand-held. The computerized racket will however not allow data transmission when a match is in progress.

The potential customers for the digital market include professional tennis players who are keen on developing their skills. The product will also be essential for tennis teams which aim at competing at an advanced level.

The computerized tennis rack will be marketed through three main marketing techniques; Facebook ads, social media contests and an exclusive product preview on google.com. Facebook ads will be an advantage because a high number of audiences are likely to be reached through the platform. The disadvantage of using these tools is that users will have to be connected to the internet for them to access information about the new product.

References

Green, G., Liu, L., & Qi, B. (2009). Knowledge-based management information systems for the effective business performance of SMEs. Journal of International Technology and Information Management, 18(2), 201-222.

Kahraman, C., Kaya, I., &Çevikcan, E. (2011). Intelligence decision systems in enterprise information management. Journal of Enterprise Information Management, 24(4), 360-379.

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