A digital agri marketplace for farmers that aims to reduce farming risk and increasing profitability for farmers. It enables farmers to become self-reliant with modern-day digital agricultural technology, real time knowledge and information, quality inputs, and marketing support. The solutions are customized to cater to the needs of individual farmer and his farm which can be easily accessed at their fingertips.

Our Client G4S is the leading global integrated security company specializing in the provision of security products, services and solutions. Challenge The client wanted us to develop a global employee tracking Product to ensure the safety & security of their personnel, which they could bring to the market as a service intended for their global clientele. Solution We developed a multi-layered solution to track the global location of every employee (on & off premise). It mapped the location related data on a customized interface solution, which included a combination of live tracking updates & real-time notifications. Benefits This was a game changer for their business. The client’s satisfaction score improved from a level of 30% to a whopping 89%.

K-Wallet App offers a centralized mobile wallet application designed to support bitcoin, Binance Smart Chain and Ethereum Blockchain Networks.

Our client, a large Retail Corporation is a leading retail company that sells a wide range of products online. It wanted to improve their customer support experience by implementing an AI-driven chatbot on their website. The Challenge: The main objective of a large Retail Corporation was to enhance customer experience by providing quick and accurate responses to customer queries, reducing the load on their customer support team while increasing customer satisfaction. Claritus was responsible for the following: 1. Data Collection: To train the chatbot, a large Retail Corporation collected a vast amount of customer support data, including frequently asked questions, conversations, and relevant product information. 2. Chatbot Architecture: They designed an architecture that consisted of three main components: a. Front-end Interface: The chatbot was embedded on the company's website, allowing customers to interact with it. b. Natural Language Processing (NLP) Engine: This engine was responsible for understanding customer queries, extracting key information, and providing appropriate responses. c. Machine Learning Model: The chatbot's machine learning model was trained on the collected data to improve its accuracy and provide personalized responses. d. Training the Chatbot: The collected data was used to train the chatbot's machine learning model. The model was to understand various customer intents and generate appropriate responses based on the context. Our Solution: 1. Defining the Purpose: The first step was determination of the specific purpose and goals of the chatbot. These were customer support, information retrieval, and simply providing conversation. 2. Gathering Data: Collecting and curating a dataset of conversations or interactions relevant to the chatbot's purpose was the second step. This data was to be used to train the AI model. 3. Preprocessing the Data: Cleaning the data by removing irrelevant or duplicate information, correcting typos, and standardizing the format was the next step. This step ensured that the data was of high quality and consistency. 4. Choosing a Model: Selecting the appropriate AI model for training the chatbot was a crucial step. We combined a rule-based system, a retrieval-based model, and lastly a generative model like a Transformer model. 5. Training the Model: We uses the pre-processed data to train the selected AI model. This involved feeding the model with input-output pairs and optimizing its parameters through techniques like backpropagation. 6. Evaluating the Model: Assessing the performance of the trained model using evaluation metrics like accuracy, precision, recall, and F1 score. This step helped identifying areas for improvement and fine-tuning. 7. Fine-tuning and Iteration: Based on the evaluation results, we fine-tuned the model by adjusting hyperparameters, adding more training data, or making architectural changes. We iterated this process until satisfactory performance and accuracy was achieved. 8. Deploying the Chatbot: Once the model was trained and evaluated, we deployed the chatbot in a live environment through which users could interact with the chatbot. 9. Monitoring and Updates: We continuously monitored the chatbot's performance, gathered user feedback, and made updates as needed. This iterative process ensured that the chatbot remained accurate, helpful, and up to date. Key Outcome: 1. Improved Customer Support: The chatbot was able to handle a significant volume of customer queries, reducing the load on the customer support team. This resulted in faster response times and improved customer experience. 2. Increased Customer Satisfaction: Customers appreciated the chatbot's ability to provide instant and accurate responses to their queries. This led to increased customer satisfaction and loyalty. 3. Cost Savings: By automating a part of their customer process, A large Retail Corporation was able to reduce associated with handling customer queries. 4. The chatbot collected valuable customer data, including frequently asked questions preferences. This data was used to gain insights into customer behaviour and improve the company's overall operations. 5. In conclusion, the implementation of an AI-driven chatbot allowed our client to enhance their customer support experience, increase customer satisfaction, cost savings. The chatbot also provided valuable data insights that helped the company make informed business decisions. 6. 360-degree system: By integrating with the vendor's catalogue data, service maintenance schedules and automated notifications, the app provides up-to-date information on the availability of parts. This helps technicians accurately track and manage inventory, ensuring they have the right parts on hand when needed.

Our Client Stonex India Pvt. Ltd. is a lifestyle brand that follows the philosophy of delivering enriching experiences. Their design expertise is reflected in their offering that makes them more than just stone, but art. Since 2001, they possess a collection of over 500 exquisite stones selected from across the Globe. Challenge The main challenge faced by our client was to secure their data, devices, and users from various cyber threats, such as phishing, ransomware, malware, and data leakage. They also wanted to improve their operational efficiency and reduce costs by moving to a cloud-based platform that would enable them to access their data and applications from anywhere and at any time securely only on their company provided devices. They approached us to be their reliable partner, to understand their business needs and provide them with a comprehensive solution that would meet their security and productivity goals. Solution The solution provided by Claritus Consulting helped Stonex India achieve their desired security, compliance and productivity outcomes. By implementing Microsoft 365 Business Premium security, we were able to secure their data, devices, applications and users from various cyber threats, with features such as advanced threat protection, device and application management, identity and access management, and information protection. Their operational costs and complexity were reduced by moving to a single subscription-based platform that offered them the best of both worlds - the premium Office apps and the powerful Microsoft security services. They also benefited from our ongoing support and guidance, which ensured a smooth and successful deployment and adoption of the solution.

Our Client NTT Group is a leading company in the telecommunications business. The client had an urgent requirement to hire 23 positions for CISCO networking profiles in L1 & L2 Networking Support & Development categories. Solution We helped the client with a successful recruitment process by partnering with their HR team to understand the key hiring criteria. Moreover, we provided onshore critical resources with extensive technical process knowledge to provide IT managed services and help create a positive client experience. Benefits The virtual onboarding process for high quality talent from our extensive database was fast and in the first 7 days we placed 12 resources. The client experienced 55-60% increase in productivity among remote employees compared to in-house workers.