SLC-S26W3|The Boss Challange
Mr Zeeshan and Ms Rehana were seniors who were managing a project which relates to development of a revolutionary car rental app algorithm which may play a role in disrupting car industry and major purpose was app creation which not just match customers with motor vehicles but with this also know priorities of customers through creative predictions.
Mr Zeeshan and Ms Rehana through their thoughtful understanding made a detailed plan which was covering the points below;
Gathering information about behaviour of customers, priorities of motor vehicles as well as provided services depending upon location.
Development of machine learning models so that priorities of customers may get importance and also for the sake of optimizing fleet usage.
To focus at integration of algorithm with map services as well with vehicles telematics.
Mr Zeeshan was the leader of developmental team and make sure:
• The development of handling high data volumes through enhancing processing system of real time data.
• The practical implementation of predictive model which was forecasting priorities of customers and optimization of fleet allocation.
Ms Rehana focus was at experiences of users so she make sure;
• The development of a engine which was based and made at recommendations by keeping in mind behaviour and priorities of overall customer ratio.
• Designing of cost and user friendly processes for booking with integration of modern availability updates of real time vehicles.
When a progress meeting was conducted then questions were asked about project progression where Mr Zeeshan asked from Ms Rehana about algorithm performance and the answer was very satisfactory by her that algorithm is meeting more than 80% of customers priorities and choices and then electric vehicle integration in it was surprisingly good to hear for Mr Zeeshan which was showing case her commendable efforts.
Mr Zeeshan appreciation at EV integration was encouraging for Ms Rehana and then he asked about optimization of fleet usage at which Ms Rehana said that in idle vehicles there is 25% reduction can be clearly seen with 40% increase in volume of electric vehicle bookings and that was impactful.
Finally success of car rental app launched with a new algorithm after 6 months developmental efforts which gave personal recommendation of vehicles according to customer choice that what thing they are appreciating the most,which also boost up adoption of Electric vehicles but reduced idle vehicle bookings which was positive impact after that algorithm and thoughtful developments.At last it enhances and streamlined booking process and real time vehicles updates too.
Mr Zeeshan and Ms Rehana teamwork results into a very successful and groundbreaking car rental app which prompted sustainability in industry overall.
That was all about a fiction full of innovation, machine learning, revolutionary solutions and teamwork importance with electric vehicle integration twist.Overall it proves a thoughtful planning, throughful implementation results in impactful end results.
Planning √
Implementation √
End result √
My invitation to
@malikusman1,@steemsial,@ashkhan,@ninapenda,@alejos7ven,@chant
This is such an inspiring showcase of innovation and teamwork! Mr Zeeshan and Ms Rehana’s efforts reflect how technology, machine learning, and also sustainability can merge to create impactful solutions that transform industries. Truly a groundbreaking step toward smarter and greener mobility.
Yes I am happy you like my points and story from start to end but unfortunately I missed some points according to original guidelines of writing fiction
Will try my best next time In Sha Allah
Steemit Challenge S26-w3 : The Boss's Challenge
Dear @steemdoctor1 , here is the detailed assessment of your submission:
You probably missed the points provided in the prompt. You brought your project team from outside but the project was to be handed over to the team of John and Timothy.
Your handling of project went way out of the original plan of the requirement and also the basics including time limit which was 6 weeks and not 6 months.