PCPL Success Stories

B2B eCommerce Platform Development

Our Client:

The Australian division of one of the world’s largest coffee machine manufacturers, having showrooms in Melbourne and Sydney and responsible for the distribution of espresso equipment and genuine parts throughout the country

The Problem:

  • Reduction in orders due to lockdown
  • Lesser revenue generation due to failure in achieving monthly targets
  • Delay in placing and receiving orders

The Solution:

  • An online B2B ordering system
  • Successfully operating for over a year
  • Allows cafe owners to order machines and parts efficiently
  • Project delivered within 12 weeks
  • Integrated master data of 400+ customers 50+ models and 10,000+ parts
  • To purchase, users can click on a part’s image, even without knowing its name, and add it to the cart by mapping its location on the machine and internal assembly
  • No reports of any P1 incident

An Analytics-Driven Solution for an IoT Company

Client-

An IoT company based out of India and working with OEMs to position and sell IoT devices and applications

The requirement-

A way to analyze historical data and build prediction models for the productivity of plastic injection molding machines based on parts being manufactured dynamically

The Approach-

  • Gathering the data.
  • Understanding the parameters collected.
  • Sorting the data
  • Analyzing the data.
  • Determining the correlation between cycle time and multiple parameters
  • Recommendation of the prediction model to predict the cycle time for individual products based on historical data

The Solution-

Each machine operates independently and requires a custom solution to be built dynamically based on the product being manufactured so no size solution will fit in.

A Recurrent Neural Network (RNN) model was thus developed to address the challenges.

Advantages

  • Can fit any machine data (support addition/removal of parameters)
  • Each neuron can be configured for correlation parameter
  • Unsupervised learning available post-initial training
  • Fully configurable and adaptable to changes

Benefits

  • Analyzed the Real-Time Machine Data from IoT Sensors to Build a Prediction Model for Productivity
  • Built a Dynamic Machine Learning Model based on the Dynamic Data Model of Each Machine
  • Achieved prediction rate between 52% to 75% for 6 different machines producing 10 different types of products

B2C eCommerce Platform

Client-

A company running Australia’s first and oldest Ketogenic weight loss program that offers an easy diet system for their customers.

The problem-

  • Performance Degradation due to higher load time and high data volume issues, owing to the earlier website being on WordPress
  • 100+ plugins causing conflict and maintenance issues
  • Exhausted the off-the-shelf features

The Solution-

  • An online platform where customers can shop for products and connect with practitioners any time
  • Designed an online B2C e-commerce platform in 15 weeks for 3 roles:
  1. End customer
  2. Nutritionist practitioner
  3. Admin panel for the company
  • Migrated the master data of 2000+ customers, 100+ practitioners, 50+ products, 250+ recipes, meal plans, and order details from the WordPress-based website
  • Delivered new functionalities e.g., Meal Planner, Wholesale Order, etc.…
  • Created a practitioner’s page from where users can select practitioners near based on geo-location or search for virtual practitioners
  • Built an appointment booking and management system
  • Delivered mobile app for the end customer

IT Strategy for a Warehouse Matchmaker

Client-

A new-age start-up based out of Australia operating in the supply chain and logistics industry.

The problem-

  • Promoting the platform and increasing its adoption
  • Encouraging 3PL, Product owners, and warehouse providers to adopt new ways of working
  • Providing real-time communication updates to customers
  • Maintaining first movers’ advantage consistently

The Solution-

A business model canvas approach to preparing the IT strategy and roadmap for 1-3-5 years.

  • Engagement Kick Off
  • Current State Assessment
  • Develop Business Canvas
  • Gap Assessment
  • Prioritize Initiatives

The final deliverable-

  • Understanding of Strategic Goals and Objectives
  • Assessment
  • Future Capabilities
  • Projects Roadmap
  • IT Org Structure and Operating Model
  • Risk and Mitigation Plan

Mobile App Catering to Multiple Needs of Pets

Client-

A new-age start-up based in India

The Problem-

Build a platform for all pet needs in one place comprising insurance, vet consultation, pet mating and dating, pet products, and pet boarding. 

The Solution-

  • Created Android & iOS apps on React Native with multiple features like dating, insurance, vet consultation, etc
  • Integrated apple sign-in, Facebook login & firebase phone authentication
  • Integrated payment gateway, google ads
  • Integrated in-app chatting
  • Published the react native android app in the Play Store
  • Used XCode to build the iOS react native app and upload it to the Apple store

Mobile App Enhancements for an IoT Application

Client-

An IoT company based out of India that is working with OEMs to position and sell IoT devices and applications

The problem-

Enhancement of existing mobile app to introduce role-based access, additional filtering and analytical abilities, and revamp push notifications based on the type of alerts   

The Solution-

  • Developed a mobile app and a backend solution
  • Enhanced existing screens and built new screens based on custom requirements
  • Built new APIs to deliver business functionalities
  • Rendered 10,000+ alerts for more than 100+ equipment across 10+ sites in less than 30 seconds