by Bhagvan Kommadi
Messaging Product is envisioned as a messaging platform for communication between consumers. It can be extended to B2C and B2B depending on the context. The messaging platform can be white labelled to be embedded in another product or standalone for specific brands or influencer promotions. The product can be used as a secured messaging platform for verticals which are concerned with customer privacy like Hospitals, Clinics, Health Insurance. Inter practice communication in those verticals can happen on the platform and integrated with Electronic Health Record system. The professionals in a vertical can use this platform for sharing information.
The Product can be used to sell products like games, emotions, tones and coupons. It can be used in businesses for recruiting and conducting interviews. It can be a collaboration tool for daily updates of tasks in enterprise business teams.
The consumer identity can be avatar, mobile phone number and QR code. The personalization features will be platform settings, defaults, profile and favorites. The person’s mood, attitude and preferences are part of the context of the messaging platform. The message channel can be voice, video, content, mobile and web. The messaging platform will have features for chatting, voice calling and video conferencing.
The message context can be private & secure. It can be a conversation or sharing a topic. The context can be extended to a brand, offer, poll, events and interviews. A temporary discussion which is created dynamically with contacts (not stored) can be the context of the messages. The messages can be shared by a person to socialise with another person alone or in a group. The conversation can be hidden to a third party or current engaged business that the person is in.
Groups can be created on the platform. Groups can be students, parents related to a school. A social network can be a school, fan club, nonprofit groups, women safety and academia. The location based messages or subscribed topics can be configured in the platform. The location can be used for picking the contacts to send messages.
Circle of Influence
The sender and the receiver’s distance is defined in a social network on the circle of influence. On the circle of influence from a sender, the distance can be the the radius of the circle drawn from the sender to the receiver. The person in the conversation can be distant from the other person on the circumference of the circle. The effectivity of the message sender or the conversation is measured by how far the network is spread and how many are in the network. Highest on the social network is termed as Influencer measured by the number of followers. The number of following in the social network is a measure of how much you are influenced by the others. The competition between the persons in the network is to start a live conversation to attract people in the network. The goal of a person is to become an influencer.
A Topic can be subscribed by the user on the messaging platform. Topics can be fashion trends, politics, elections, lifestyle, tourism, ecommerce portals, fan clubs, fitness, movies, entertainment & event calendars, spiritual and religion. Music news & releases, sports commentary, celebrity gossips can be topics started by the specific publishing businesses.
Cost & Profits
The social distance is on the circle of influence from the best influencer in your network. The cost of sending messages is the content creation and the profit is the branding of the product in the network.
Tools will be provided in the messaging platform for content creation. Add ons can be provided free or based on cost for content creation in the platform. The engagement of the persons in a topic or a conversation is the measure of the effectivity of the content topic.
The cost of a topic and topic content will be the content creation cost for the publishing business. The profit is measured by the brand building and the social network engaged in the topic. The engagement is measured by the number of people in the topic network and the number of influencers listening to the topic.
Consumer expects data usage need to be optimal when the person is messaging for a topic or a conversation. Privacy will be a major concern. The person will be concerned for battery of the device. The archival process of the messages need to factor in privacy. The person sending messages is measured by the frequency of messaging. The person’s influence in the social network is determined by the probability of the message being read by the receiver. The probability of the topic being conversed upon is measured by the number of messages subscribed in that topic by the person and frequency of his/her sending messages. Shake of the device can be interpreted by the intensity of the shake. The intensity can decide the alerts for police, security or known family contacts nearby.
Consumer now days wants to move out of social media platforms into the messaging platform. The person is also interested in posting moments to be shared through social media platforms. Social media platform can be a channel for the messaging platform.
Smart Home and Smart Cities
The messaging platforms are evolving from conversational tools to Smart Living and Lifestyle Remote control devices. The platforms are enhanced to control a hotel room for lighting, temperature and security.
Smart cities have features on these platforms for weather check, traffic, coastal monitoring, building maps, augmented reality apps for airports, seaports, railway stations and bus stations.
Bhagvan Kommadi, Founder, Architect Corner has around 18 years experience spanning in the creation of products & incubation of Product Startups, ISV development centers, Center of Excellence and enterprise solution practices in the areas of BigData, IOT, Cloud, Data Science, BI, Enterprise mobility, Enterprise content management, Enterprise security, SOA, CEP,MDM and BPM. He has done Masters in Industrial Systems Engineering at Georgia Institute of Technology (1997) and Bachelors in Aerospace Engineering from Indian Institute of Technology, Madras (1993).