Executive Summary

About Client

COMMANDO has over 20 years of experience working for leading LGBTQ+ dating apps. They help to position your regional, national, and local businesses to succeed in reaching such dating audiences on social and streaming video platforms.

Some of the services that they provide are social media, mobile web, dating apps, video streaming, and designs that convert.

https://www.runwithcommando.com/
Location: California, America

Project Background-Pipedrive Support, Implementation & Customization

Runwithcommando came to Peritos with a requirement for Pipedrive support to manage their leads, and transactions, track communications, and customizable analytics. They wanted to implement the Pipedrive system to customize their business operations and processes.

Scope & Requirement

In the 1st Phase of the pipedrive support and customization, implementation was discussed as follows:

  • Automating repetitive tasks to create streamlined sales process for their team
  • Get automated behavior based hints on how to boost results 
  • Crucial KPIs and reports to track team progress
  • Integrate sales and customer data 
  • Technical Consulting 

Implementation

Technology and Architecture

Technology 

The web app was deployed with the below technological component

  • Backend Code: .NET Core, C#, Node.js
  • Mobile App code: React Native
  • Web App code: ReactJS
  • Database: SQL Server, MongoDB
  • Cloud: Microsoft Azure

Integrations

  • Migration from an on-premise database to Online Student, Teacher, Subject database
  • Single Sign-on using Auth0
  • Sendgrid

Security:

  • Data Encryption
  • Multi-Factor Authentication for Admin, Teacher, and students when logging in
  • All API endpoints are tokenized

Backup and Recovery

Cloud systems and components used in the attendance management system are secure and 99.99% SLA. We have added HA/DR mechanism to create a replica of the services 

Scalability

Application is designed to scale up to 10X times the average load received in the 1st 6 months of its usage and all cloud resources are configured for auto-scaling based on the load

Cost Optimization 

Alerts and notifications are configured in the attendance management system to notify if the budget is being exceeded.  Peritos being a cloud partner is managing the environment for the client keeping a close watch on the cost and finding ways to optimize the same 

Code Management, Deployment

Code for the app is handed over to the client through Microsoft AppCenter. 

CI/CD is implemented to automatically add, build and deploy any code changes 

Features of Pipedrive Support, Implementation and Customization

  • Helps to automate repetitive tasks to create streamlined sales processes. 
  • Connects Pipedrive to other software and develop custom features with the free API key
  • Push real-time updates in Pipedrive to the endpoint
  • Offers customizable reports and interactive dashboards
  • Helps to create CRM fields for reports and decisions based on your reports
  • Track crucial reports and KPIs in one place
  • Monitor team progress at a glance
  • Integrate sales and customer data with your preferred reporting tool
  • Track emails, calls  and contact history 
  • Grow an unlimited database of contacts and organizations 
  • Leverage full potential of cloud ecosystem with end-to-end management system

Challenges of pipedrive Support, implementation and customization

  • Achieving similar results from one camera while the same results in an actual game are received using hawk-eye technique that uses six cameras.  Achieving accurate results from the app each time was dependent on the background noise and the position of the camera and device quality.
    • We informed user if the camera quality and device was not compatible for 240FPS and slow-mo recording was not available we did not allow them to download the app. A list of supported devices was also released on the Machineroad’s site. 
  • Ability to process videos recorded in different environments under different lighting conditions and pitches
    • We did Machine learning for which we trained the model in different conditions like day and night, Outdoors and indoor etc. But it was difficult for the app to pick a new location and pitch automatically if it was different from the models on which it was trained. 
  • User needs to align the pitch with the camera and orientation of the camera should also be accurate else the results gets impacted.
    • Help screens were implemented to inform user on the orientation and Video tutorials were released by the client as well so users can understand how to get the best results from the app. 

Project Completion

Duration

April 2020 – Sep 2020 ~ 6 months 

Deliverables

  • UX Design of the attendance management system was delivered after which the scope was confirmed 
  • Web App unit tested with a How to Document Guide and FAQ on some common issues that might be faced in using the app by the Students, Teachers and Admin 
  • Knowledge transfer with Train the Trainer sessions to train super users who further trained the staff members 

Support

As part of the project implementation, we provided 1 month of extended support. This includes any Major / Minor bug fixes 

Testimonial

GROUP CEO RunwithCAmmando

Next Phase

We are now looking at the next phase of the project which involves:

1. Ongoing Support and adding new features every Quarter with minor bug fixes

2. Web based module to have admin be able to mass Upload teacher, students 

3. Mobile App for the students and teachers to mark attendance on the mobile phone  

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Executive Summary

About Client

Attention Seeker is a digital influence agency based in Auckland which specializes in Personal Branding and LinkedIn Marketing. They help B2B customers with lead and revenue generation through the art of storytelling. They use LinkedIn as the main platform for generating leads for thier clients. Some of their other services are Content Marketing and Events Marketing.

 

https://www.theattentionseeker.com/
Location: Auckland, New Zealand

Project Background

Linkedin App to Manage leads contacted using Linkedin Network.

Attention Seeker came to Peritos with a requirement of developing a customized third party custom LinkedIn app. Their main motto was to manage the leads coming in via LinkedIn and get a consolidated view of the leads in a single page. There was also a dashboard view to show the number of connections and invitations sent during the program. 

Scope & Requirement

In the 1st Phase of the app, implementation was discussed as follows:

  • An app which the user can login and see the data and dashboard in a central place to understand the leads being generated and get a consolidated view
  • User’s profile was integrated to fetch the connections and invitations sent and then using the list marking the leads which are qualified for the next level 
  • Whenever a lead was marked the user was notified via email so they could take over and do the follow up action needed. 

Implementation

Technology and Architecture

Technology 

The web app was deployed with the below technological component
• Backend Code: .NET Core, C#, Node.js
• Mobile App code: React Native
• Web App code: ReactJS 
• Database: SQL Server, MongoDB
Cloud: Microsoft Azure

Integrations
• Migration from an on-premise database to Online Student, Teacher, Subject database

• Single Sign-on using Auth0

• Sendgrid

Security:

• Data Encryption
• Multi-Factor Authentication for Admin, Teacher, and students when logging in
• All API endpoints are tokenized

Backup and Recovery

Cloud systems and components used in the attendance management system are secure and 99.99% SLA. We have added HA/DR mechanism to create a replica of the services 

Scalability

Application is designed to scale up to 10X times the average load received in the 1st 6 months of its usage and all cloud resources are configured for auto-scaling based on the load

Cost Optimization 

Alerts and notifications are configured in the attendance management system to notify if the budget is being exceeded.  Peritos being a cloud partner is managing the environment for the client keeping a close watch on the cost and finding ways to optimize the same 

Code Management, Deployment

Code for the app is handed over to the client through Microsoft AppCenter. 

CI/CD is implemented to automatically add, build and deploy any code changes 

Features of App to manage linkedIn leads

  • For logging in user can do a single sign on using LinkedIn Account
  • AttentionSeeker can mark one of the invitations or connections sent as lead which then sends a notification to the user so they could follow up with the lead 
  • A dashboard view of how many connections were sent and accepted shown over days . Months and custom Time period 
  • User was able to add other users, clients and admin on the portal

Challenges

  • To transfer the data from the LinkedIn app was a challenge as the APIs were not available.
    • We had to use UI Path instead.
  • We needed the authentication to be stored centrall but it had to be encrpypted so it is not misused. 
    • Data was stored in a UIpath Key store where after storing it was not visible. 

Project Completion

Duration

April 2020 – Sep 2020 ~ 6 months 

Deliverables

  • Delivered a Web App which smoothly automates and manages the leads for each of AttentionSeeker clients ensuring the data gets stored in the app and the client can see the progress made by the Attention Seeker team thus saving time to have frequent calls to update them on the progress. 
  • A customized design of the app was discussed with the client
  • Training and handover in using the app and explaing how the users and other clients can be easily onboarded. 

Support

As part of the project implementation we provided 1 month of extended support. This includes any Major / Minor bug fixes.  We also provided them a few months of extended support. 

Testimonial

We did not get a documented feedback from the client for using the app 

Next Phase

Project ended and we helped client to move to a support model

1. Ongoing Support for the management of the app and answer any how to questions 

2. Make sure that the UI Path continues to run smoothly and uploads the end user data on the app 

3. Integrate new features and bug fixes to ensure that the product delivers results

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