Product Engineering – Innovative Solutions Fulfilling Company Needs
Encompassing the Life Cycle of a Product, From Inception to Implementation
Our pioneering product engineering services and solutions aim towards assisting organizations, belonging to different domains, to successfully implement new technologies for the creation of robust products, customized to suit their needs.
It offers a complete lifecycle that brings your product vision to life with modernized technologies and solutions. We leverage our product engineering skills to create the perfect enterprise-grade software solution for you.
Our Product Engineering Projects
Presenting our product engineering solutions that leverage cutting-edge technologies to offer top-notch products that are competitive and robust
A look at our achievements traversing across different territories, helping clients achieve a faster go-to-market time and lessened total cost of ownership.
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83 Department Store
83 Department Store
83 Department Store
Our Services
Uncovering our expert service areas related to product engineering that are sure to catalyse organizations in terms of business growth and innovation.
Our product engineering team assists in creating and implementing software products depending upon different computing models, be it any size or segment of industry. A sure shot roadmap to faster business achievement and maximized RoI.
Our Technology Spread for Product Engineering
We @ Ridgeant provide the most modern and economical technology to our clients, ensuring best possible results in product engineering services.
Looking for a Valued IT Partner to get actionable insights from your data? We will be happy to help. Schedule a call with us.
Why Ridgeant?
Apparent benefits of choosing Us as your Valued Partner
We @ Ridgeant are assessed leaders in product engineering solutions and services with expertise in a wide variety of industries, aiming towards increased profitability and productivity.
Our Industries
Industries We Work With
Every Industry/business has its own way of operations and revenue cycle. But one thing is common in every segment of business and that is data. Whatever Industry you are in, we have a solution to analyse and capitalise your business.
Retail and FMCG
Healthcare
Energy and Utilities
Financial Services
e-Governance
Real Estate
Manufacturing and Engineering
Media and Entertainment
Agriculture
Education
Pharma and Life science
Transportation and Logistics
Our Process
Our process design the way to success
Ridgeant, a Data Science organization, with expertise in a wide range of industry sectors, including E-Commerce, Healthcare, and Finance has been a valued partner to organizations who understand the value of data-driven decisions.
Our Expanded Portfolio
Here are our successful product development solutions, that ascertain our expertise and experience
AI-Driven Dynamic Pricing Optimization
AI-Driven Dynamic Pricing Optimization
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100
MD Effort saved per year
0
%
Reduction in attrition
0
%
Increase in lead qualification
Business Objective
A technique to generate more revenue by optimizing a dynamic pricing strategy
- Real-time pricing adjustment based on the existing market demands
Greater control over pricing by analyzing data and machine learning techniques
- Track competitors in real-time and continuously adjust the price according to demands and seasonality
Solution
Data is continually collected and analyzed to adjust prices
Recommend new prices and reprises automatically using cost-based, competitor-based, and demand-based factors
Use of deep reinforcement learning and ML algorithms to manage pricing and balance demand-supply variations
Result
- Automated repricing based on vital data points such as market trends, competitor pricing, and demand
- Increased profit and customer satisfaction by setting the optimal prices
Use of real-time data to make decisions
- Faster response to real-time supply and demand
Benefits
More granular insights and speed up the decision-making process at the product level
- A better understanding of market trends and customer demands
- Dynamically resets prices and recommendations for when to increase/decrease prices
- Lower customer churn and increased customer satisfaction
- Increased flexibility and more control over pricing
- AI-based price optimization uses real data to make changes in prices
- Lowers the risk of stockouts and balances the demand-supply gap
Tap Into The Power of the Cloud To Manage Data
Request A QuoteCustomer Success Stories
Actionable dashboards via logs and predective analytics
AI-Driven Dynamic Pricing Optimization
IoT Analytics
Log Analytics and Predictive Analysis
Natural Language Processing
Project Management Analytics – HR Performance
Predictive Analytics Solution with Order Management to Avoid Overstock and Under-stock scenarios
Shipping Industry Analysis
Social Media Sentiment Analytics
Stock Market Analytics
AI-Powered Housekeeping Audit App based on Image Similarity Using Deep Learning
Sublet Fraud Detection Using Web-scraping and Natural Language Processing
Customer Success Stories
100 Effort saved per year on manual data aggregation and preparing reports 0 % Effort saved per year on manual data aggregation and preparing reports 0 % Effort saved per year on manual data aggregation and preparing reportsLog Analytics and Predictive Analysis
Actionable Dashboards
- Search, view, and interact with data stored
- Perform advanced data analysis
- Visualize your data in a variety of charts, tables, and maps
- Apply machine learning unsupervised models to detect anomaly in data
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Predictive Analytics Solution with Order Management to Avoid Overstock and Under-stock scenarios
Requirement
A solution that helps retailers in automating order management and stock replenishment based on season, historical trends, and minimum and maximum stock benchmarks.
Solution
- The system is based on predictive analytics that works on historical data of past orders, seasonal demands, and stock levels to predict the order size for retailers.
- The system is integrated with POS that collects data real-time and automates the order management which avoids under-stock and over-stock scenarios for retailers.
- It will not just help retailers in stock replenishment but also improve the Sales and RoI by predicting sales and stock trends backed by data.
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Shipping Industry Analysis
- Container Move Analysis
- Revenue Analysis for shipping fort
- YTD,QTD,MTD Analysis for Terminal
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Social Media Sentiment Analytics
Social Listening
- Real time Twitter sentiments
- Facebook and Instagram sentiments
- Competitive insights
- Top hashtags and Emoji distribution
- Top keywords and word clouds
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AI-Powered Housekeeping Audit App based on Image Similarity Using Deep Learning
Requirement
An easy-to-use intelligent application that helps hotel management to automate the audit of cleaning and maintenance work done by external agencies.
Solution
- The application work on image similarity using deep learning based on artificial neural networks.
- The management will take a picture of the premises after cleaning work done by the agency and upload it to the system, which will preserve information by reconstructing the input and fine-tuning to identify similarities between images pre-uploaded images and with latest ones.
- This will help management to automate the housekeeping audit without manual examination of the work done.
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Sublet Fraud Detection Using Web-scraping and Natural Language Processing
Requirement
A fraud detection system helps land-lords identify their properties listed online as available for rent that is already in use by tenants to prevent subletting.
Solution
- The fraud detection system scrape and search the property’s location to match with Google map data and find the proportionate location as most portals do not display exact locations.
- By using the image processing algorithms it compares images available and online property images
- Based on data available, data gathered using web scrappers, and image data the system matches the metrics and finds the similarities between a rented property and with listed property to calculate the probability of fraud by tenants by subletting the rented property.
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Testimonials
Customer share their stories
We work with the clients as our partners, and their better experience is our rewards and responsibility
David Mann
United States
Hans
United States
Henry Sykes
Director - CCR Data
Mark Scriven
Technical Director - Value Ad
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“Those companies that view data as a strategic asset are the ones that will...
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“You can have data without information, but you cannot have information without data.” – Daniel...
