Overview About Spiral Mantra Private Limited

About Client The client is one of the leading renewable energy companies operating across multiple states, managing over 15 wind farms and 8 solar installations with a combined capacity of 2,500 MW. With growing energy demands and increasing grid complexity, the company faced significant challenges in optimizing power generation, predicting maintenance needs, and managing energy distribution efficiently. Client Requirements As a forward-thinking organization committed to sustainable energy solutions, the client sought innovative approaches to enhance operational efficiency while reducing costs and environmental impact. As part of the client requirement, the Spiral Mantra team of IT experts involved in an ongoing new project with the objective of deploying scalable solutions. Being part of the project, our team’s primary task is to provide accurate demand forecasting to optimize energy production and reduce waste, as their existing systems were causing 15-20% energy surplus during off-peak periods.  The company also struggled with real-time grid balancing, often experiencing inefficiencies when integrating renewable sources with traditional power grids. Additionally, they required enhanced predictive analytics for weather-dependent energy generation and automated decision-making systems to respond to rapidly changing energy market conditions. Solutions Provided by Spiral Mantra Team Spiral Mantra's expert team developed a comprehensive AI-powered energy management platform tailored to specific needs. The solution included machine learning algorithms for predictive maintenance that analyzed sensor data from over 500 wind turbines and 10,000 solar panels, identifying potential failures 30-45 days in advance.  Advanced demand forecasting models were implemented using historical consumption data, weather patterns, and economic indicators to predict energy demand with 95% accuracy. The team also created an intelligent grid balancing system that automatically adjusted power distribution based on real-time demand and supply fluctuations.  Final Outcome The implementation of Spiral Mantra's AI solutions delivered remarkable results, as the equipment downtime was reduced by 68%, saving approximately $1.56 million annually in maintenance costs. Energy waste decreased by 22% through improved demand forecasting, resulting in additional revenue of $3.2 million per year. The predictive maintenance system prevented 47 major equipment failures during the first year, avoiding potential losses of $8.4 million. Overall operational efficiency improved by 31%, while the automated grid balancing system reduced manual intervention by 85%.

Client Information The client is one of the leading audio entertainment companies and offers various genres of music, news, entertainment, and more on its 150+ channels. It has interviewed and spoken to many prominent musicians, singers, and industry changers. The client also provides connected vehicle services that include a network of security and convenience services for customers. Spiral Mantra Approach Spiral Mantra helped the client in moving their operation base to the cloud and created a framework that enabled eCommerce-based networking. We also made the system scalable enough to reduce manual efforts in identifying and fixing production issues. Additionally, bug fixes were made to ensure a smooth circuit of services. Challenging Areas Afflicted By Client Helped in setting up AWS IoT on Raspberry Pi and NGINX server communication while creating initial architecture for an e-commerce-based solution. Worked on performance analysis for REST/Soap web services by creating automation utility through Groovy scripts, which in turn, improved the turnaround and transaction time for all services by making necessary code changes with code quality and right design pattern principles Helped in developing the Terms and Conditions document management system using microservice architecture and by dockerizing the service Created mock services by going the extra mile with proactiveness for Amazon mobile delivery service POC Implemented POC with containerization of microservices using Docker and deployed it across platforms and sharing of information between containers Solutions We Provide In a nutshell, Spiral Mantra developed software applications for the telematics industry/wireless mobile environment. We also played a crucial role in developing high-performance, scalable, and fault-tolerant applications written in Java. We worked as a team to design, develop, test, and maintain the software platform. Analyzed, designed and implemented backend software solutions of varying complexity Played a key role in the project’s software development effort, including providing expertise for schedule estimation, functionality, integration and deployment activities Provided well-written design documents from requirements documents (even loosely specified requirements) Worked on transaction management using EJBs in the implementation of web services. Technologies We Used Spring boot, Spring MVC, Hibernate/JPA, Spring JDBC, Spring IOC/AOP AWS EC2, ECS, VPC, EBS, Docker, Drop wizard, SoapUI, GIT, Jenkins, Angular4, Html5, Css3, REST, Soap, AWS IOT, MQTT Oracle, MongoDB, IntelliJ, JIRA, Outlook, Rasberry PI, Perl, Groovy, Android, Microsoft SQL Server, Confluence, AgileCraft, Structs2, JSP, Servlet Value Delivered By Our Team The client was able to generate more revenue and learned new ways to resolve technical issues in a more cost-effective manner thanks to our technical expertise with various technologies like groovy, Siebel, MQTT, RabitMQ, Splunk along with microservices architecture. Also, we provided internal team technical sessions on new skills which in turn improved team productivity achieving more results in less time.

Challenges Faced by Client The stock exchange company encountered several critical challenges in managing its customer relationships and communications, a few of them as follows: Data Management Complexity Inconsistent synchronization between Account and Contact records in Salesforce Duplicate records create confusion and reduce operational efficiency Lack of standard data entry protocols leading to information gaps Email Communication Issues There is no preview functionality for outbound emails, increasing the risk of errors. Difficulty in tracking successful delivery status and engagement metrics Solutions Offered by Spiral Mantra Our team implemented a comprehensive solution package to address these challenges: Data Management Enhancement Developed custom automation rules for Account-Contact synchronization Implemented duplicate detection and merging protocols Created validation rules to ensure data quality at the entry Email Management System Integrated advanced email preview functionality with real-time rendering Developed custom templates with dynamic merge fields Implemented bulk email capability with personalized salutations Created a centralized signature management system Communication Tracking System Built custom dashboards for email tracking and analytics Implemented automated bounce handling and failure notifications Developed reporting tools for communication effectiveness Final Results/Outcomes The implementation delivered significant improvements across multiple areas: Operational Efficiency: 75% reduction in time spent on email composition and sending 90% decrease in data synchronization issues 100% elimination of duplicate record creation Communication Quality: 99.8% email delivery success rate 40% increase in email open rates 60% reduction in email formatting errors Business Impact: Enhanced stakeholder satisfaction scores by 45% Improved response time to market communications by 65% Reduced manual data entry time by 80% The solution transformed the client's communication infrastructure, enabling them to manage stakeholder relationships more effectively while maintaining the highest standards of professionalism and accuracy. The automated systems and streamlined processes have positioned the stock exchange for continued growth and improved stakeholder engagement in the future.

Client: Our client, a leading provider of online business process optimization, was focused on improving customer engagement on its digital payment processing platform through effective and efficient case management. Challenge: The client approached Spiral Mantra with a need to streamline digital interactions and provide real-time assistance to customers by implementing Einstein Chatbot. Solution: After initial training, we built a solution integrating Salesforce Einstein Chatbot to enhance real-time engagement and omni-channel support. Results: The company has seen the following results within a few weeks: Increased user engagement through faster responses  Improved omnichannel assistance through chatbot integration Reduced manual data entry by automatically creating contacts Faster turnaround times and better customer experience About Client Our client is a leading consulting firm in the United States that helps startups optimize online business processes and develop integrated technologies. The client has been in this business for more than 10 years and approached us to enable a chatbot on their digital payment processing platform, so they could engage with customers in real-time while providing support and information. Challenges When processing digital transactions, the client needs to provide real-time support to their customers but faces the following challenges: Inefficient support ticket management and case communication: The client struggled to manage support tickets and case information in their Salesforce organization. Manually creating case contacts: Contacts from the Email-to-Case feature in Salesforce had to be created manually, which was time-consuming and labor-intensive. Lack of real-time interaction with users: The client could not provide real-time interaction to users seeking aid on its website. Inefficient multiple-channel support: Providing effective support across multiple channels such as Facebook and WhatsApp was a challenge. Solutions provided by the Spiral Mantra team When asked to simplify customer aid operations and incorporate chatbots to increase user engagement, the developers at Spiral Mantra stepped in to meet this challenge and provide a comprehensive solution that included the integration of Einstein Chatbot. To deploy a Salesforce Einstein chatbot: Develop and deploy a chatbot on a client’s payment platform using Apex code and automation for quick responses and user interactions. Integrated multi-channel support: Create a Facebook messaging channel and integrate the chatbot in a sandbox environment to support this popular platform. Automatically create contacts: Configure automated tasks in Salesforce to automatically create contacts based on cases created by the “Email to Case” action, reducing manual data entry. Improve case management: A new custom type picklist value “Notion” has been added to the case object for better case classification and management. Final Outcomes Spiral Mantra implemented a Salesforce development solution and customizations to seamlessly integrate Salesforce Einstein Chatbot on the client’s website. Key Points 60% increase in website engagement 82% increase in customer response time 40% decrease in bounce rate In FinTech, customer support is essential to maintaining customer loyalty and trust. Increased engagement and faster decision-making have a direct impact on customer satisfaction and retention, driving business success.

A private equity real estate firm sought to enhance its data processing capabilities to improve investment decision-making. The company's existing system struggled to efficiently handle large volumes of real estate market data, particularly concerning geographic information processing. Challenges: Processing time for large datasets extended to days rather than hours, creating significant delays in analysis and decision-making Complex geographic data processing requirements strained existing infrastructure Current system architecture lacked scalability for future growth Market analysts faced difficulties accessing and utilizing managed information effectively Solution: The team implemented a modern data processing architecture featuring: Cloud-based distributed computing system to handle large-scale data processing Advanced geospatial data processing capabilities Scalable database infrastructure with optimization for real estate metrics User-friendly analytics dashboard for market analysts Results: The new solution delivered significant improvements: Data processing time was reduced from days to hours—an 80% improvement Geographic data analysis capabilities enhanced by 60% System scalability increased to handle 5x current data volume Analysts now access real-time market insights through an intuitive interface Investment decision-making accelerated by 40% Return on investment achieved within the first year through improved decision-making efficiency This case study demonstrates how modernizing data infrastructure can dramatically improve operational efficiency and decision-making capabilities in real estate investment.

Project Overview The client demand planning team uses an in-house stat model (secondary sales forecasts, i.e., distributor to retailer for the future 3 to 5 months), which then undergoes the S&OP process with the CMM & TMM team to land at a consensus forecast. This is then used to create a distribution and production plan, which drives improved availability and inventory reduction. Currently, the state forecast generates a point estimate for a few sets of models like classical time series, random forest, prophet, etc., and the best of the lot is selected.  Also, the input drives for consumer and trade offers are just flags of whether the offer is running. The SC team wants to understand the sensitivity of all the drivers; for example, how will the demand vary if we increase our consumer offer from Rs 5 off to Rs 10 off, etc.? Additionally, as the sales team always has an aspirational number vs. the forecasted demand leading to high inventory in the system, we need a solution that can estimate a range (lower and upper limit at specific confidence level) so that during the S&OP process we can push the sales team, leading to reduced inventory, and experience better accuracy with the ranges. Solution Proposed Creating a dynamic forecast engine tool that can create forecasts at multiple granularities (brand or parent SKU, depot or national level, and combinations of these) and ensemble/stack multiple models to forecast the best possible point estimate. Creating a sensitivity/simulation module in the tool to dynamically update the demand basis new quantified drivers and understand the impact of changes in these drivers. Creating a range-based forecast tool that can forecast ranges for a specified confidence interval. Also, the range forecast should tie back to the point forecast.

Challenges: The clients wanted to leverage technology by developing a new website and mobile app to increase its user base and customer experience. A need for a platform that will automate day-to-day mundane tasks and allow users to book services without the need for any customer support executive was identified. Our Solution Spiral Mantra started the project with an extensive discovery of the project, identifying the key pain points and most important functionalities for the client.  The solution proposed included an iOS and Android app and also a web portal that can be used by the customers to make bookings and manage their orders, as well as an admin panel where the client team can handle the operations from the backend. The web portal and mobile app were developed to help customers get quotes and book pallet services. The customer gets to enter the collection and delivery location and date, select pallet space, type of service, and other optional services. The customer can track their shipment through this portal as well. Results The client and his customers continue to enjoy automated operations with features like Admin Panel Edit, Add, Del: Pallet size, weight, cost  Dashboard  Customer Queries  Delivery type  Delivery Status  Current Bookings Booking completed Notification Customer App Quote for services Truckload services  Select the Service Options screen Manage Delivery   Order Review and Payment screen  Customer help screen (Chatbot AI)  Track Deliveries screen

Challenge  With the increase in customer inquiries, the real estate agents were finding it hard to keep up with the increase in data and enquiries.  The client wanted to implement an AI chatbot that would help in making selling and buying property more efficient and help ease load on operations. Solution  Spiral Mantra started with identifying business needs and making sure the solution is cost-effective with maximum output. The real estate chat bot's main objective is to improve the effectiveness and user experience of the property selling and buying process. The purpose of the bot is to assist customers who are interested in selling their or buying properties by asking them a series of questions in order to gather all the required information. These sets of questions were designed by keeping in mind the business needs. They contained details about the size, location, and expected price of the property, among other pertinent aspects. The bot assists in decreasing the workload for real estate agents by automating this preliminary data collection and makes sure that all crucial information is consistently and precisely gathered. Results  The bot offers a convenient and accessible way to start the selling or buying process, available 24/7. Customers can provide their property details at their own pace, without the need for immediate human interaction. By automating the data collection process, agents can save valuable time and focus on more critical tasks such as marketing properties, negotiating deals, and providing personalized service to clients. The bot ensures that all necessary information is gathered upfront.

Challenge  The primary challenge was the inefficiency of their current internal invoicing application, which required manual intervention and was prone to errors. As a result, the client struggled with local deployment issues, which hindered their ability to manage invoicing effectively. Furthermore, the existing system lacked integration capabilities, which makes it difficult to streamline operations and maintain client data security. Plus, the improper design and look of the desktop application make it difficult to use. Additionally, he wanted to have a full-fledged data management platform that could potentially help to maintain his inventory stock and generate reports for effective usage.  Solution  To address these challenges, Spiral Mantra developed a comprehensive strategy that involved integrating a third-party invoicing application and APIs that would automate the invoicing process and enable real-time data management. Additionally, deploying the application on the cloud was essential for enhancing accessibility and ensuring data security. Apart from this, we facilitated the most advanced system that would allow the platform to generate orders from inventory and their respective invoices seamlessly.  Results  The Spiral Mantra team played a pivotal role in transforming the client's invoicing system. Our engineers developed a React web application tailored to manage client data efficiently and generate invoices seamlessly. With effective use of the technology stack, including Java for the backend processing, React for the front end, and MySQL as the database, the team ensured to offer a robust and scalable solution. In addition to this, by leveraging cloud deployment, the application becomes accessible from anywhere. With proven data security practices, the client’s data remained safe and secure. This integration not only boosts their invoicing operations but also adheres to streamline overall productivity, allowing the client to stay focused on their core business functions. 

Challenge  The client is looking forward to having a website revamp along with a new mobile application for their taxi booking services. The major struggle was to shape the app idea into reality, as the client wanted an application that could offer new booking services for city tours, chauffeur hire, and taxi transfers, along with real-time tracking for long-distance taxi booking.  Solution  The team at Spiral Mantra revamped the existing website and developed a new mobile application by utilizing technologies like Angular, Flutter, Figma, Node.js, and MongoDB. The team started by collecting the end-user data from multiple sources. By using technologies like Python and SQL for data collection and extraction within an interval of every 15-20 minutes. The developed application lets the clients make new bookings for city tours and taxi transfers, along with the facility to hire chauffeurs with ease.  Results  With the final output, the client leveraged an increase in 70% customer satisfaction by our integrations. Plus, we were also able to increase their new bookings for city tours , taxi transfers , chauffeur hire, and  long-distance taxis and track them in real time as well. The company generated increased revenue through the mobile app developed by the Spiral Mantra team of developers. 

Challenge The company faced the complex challenge of accurately predicting energy demand across various zones while accounting for weather sensibilities. This intricate task demanded innovative and predictive solutions to ensure efficient energy distribution and cost optimization while navigating the uncertainties. Solution  Starting with end-user data collection about demand from multiple sources and also accounting for climatic variations. Using Python and SQL to collect data, extracted every 15–20-minute interval. Simultaneously, the data was seamlessly integrated with the Weather API, NoSQL database, and SMTP dataset. Apache Spark and Apache Hadoop were leveraged for data processing. Transforming the data through Talend and loading the data on Delta Lake. Employing an ML model to accurately predict and analyze data to generate reports for decision-making. Results  With faster data access, consequently reducing the time required to obtain valuable insights. The Big Data Solution enabled the client to accurately forecast the electricity demand and save 20–30% on electricity distribution costs. The solution also helped the client meet customer demand and ensure customer retention. It optimized the electricity distribution across various cities and zones while accounting for varying weather conditions. 

Challenge  The client was functioning using a complicated network of servers, databases, and networking components, and manual configuration updates took up a significant amount of their IT team's time. A need for IaC (Infrastructure as a Code) implementation was identified. Solution  The client was currently using AWS and wanted to move to Azure. After a thorough as-is analysis, it was discovered that a robust IaC (Infrastructure as Code) needs to be implemented. The solution involved defining and controlling infrastructure configurations using code for automated provisioning, configuration, and scalability of infrastructure resources. Terraform was selected as a tool because of multi-cloud support. CI/CD pipelines were integrated into the IaC, allowing automated changes in the infrastructure. Load balancers were implemented to manage the workload of infrastructure. Results  The client enjoyed automation and high level of efficiency with elimination of any human error with no need of manual configuration. The firm could quickly scale its infrastructure up and down in response to varying workloads. IaC's ability to supply and deprovision resources on demand resulted in significant cost savings. Unused capabilities were automatically terminated to avoid unnecessary expenses.

Challenge  This well-known financial service provider was struggling with proper data verification because of improper data processing, often causing roadblocks in customer communication and inefficient operations. Solution After initial training and engagement with the client it was identified the need of proper verification of data and essential need for robust data processing. The solution involved creating data identity to identify and extract the right data when needed using DDL, this made it easier for the data team to extract data much faster when needed. SQL was used to fetch data when needed from the well-organized tables. Results  The client continues to enjoy the increased data availability accompanied by complete data integrity and availability. The client sees improved decision-making with reports that are formed with processed data. This has not only improved their overall loan management system but has created a sustainable and future proof pipeline of data for them.

Deploying a Smart Wearable Mobile App for Kayaking Activity Tracking

Challenge The well-known manufacturers and designers of kayaks were determined to introduce a tracker to their equipment and wanted Spiral Mantra to develop a smart wearable mobile app that would be useful to track their users' progress accurately and receive personalized insights on their respective smartphones, predetermined as a Galaxy wearable app, an iOS wearable app, and an Android wearable app. Solution Spiral Mantra developed a smartphone app that uses artificial intelligence and can be integrated with the machine's hardware for real-time reports on the machine's screen. We solve the client's major concern by developing a feature-rich wearable application while making sure to focus on their key user's kayaking activity and fitness.  We also offer effective features that the client wanted us to include in their project, which include: Effective distance and speed measurements The machine hardware provides real-time feedback based on the generated reports Calorie burn estimation with personal performance statistics Goal setting and achievement badge  Results With the developed application, the client is now able to provide various benefits to its end-users, resulting in a 40% increase in their platform traffic, while offering resources to support their user's fitness journey. The admin panel also helps the client maintain a user base and update different programs with multiple offers and discounts.