Artificial Intelligence and Machine Learning
In the fast-paced realm of today’s technology and the complex landscape of modern business, companies will struggle to keep up without the reinforcement the support of AI. Let us guide you in unlocking your full potential of your data with the power of AI
SHAPE YOUR AI STRATEGY
OUR AI/ML SERVICES
AI Strategy
Tailored guidance for integrating AI solutions into your business model, fostering innovation and growth.
Data Strategy
Customized approaches to manage, process, and leverage data assets effectively for informed decision-making.
AI Discovery
Uncover transformative AI opportunities within your operations, enhancing efficiency and competitiveness
AI Scaling
Seamless transition from AI prototypes to full-fledged systems, ensuring optimized performance and scalability
Prototyping
Rapid creation of AI prototypes to visualize concepts and refine strategies before full-scale implementation.
Cloud & Big Data
Harness the power of cloud and big data technologies for efficient storage, processing, and analysis
Analytics & Insights Workshops
Collaborative sessions led by business and technical experts, analyzing data to offer actionable, data-driven recommendations for resolving business challenges.
Generative AI & GPT
Unlock creativity and automation with cutting-edge generative AI models like GPT-3, redefining possibilities.
AI / Machine Learning Use Cases
AI Based Replenishment
Built a replenishment AI prediction model based on historical distributor consumption, improved seasonality factors, and additional market/customer specific statistics that further boost prediction accuracy. Through applying inventory management models, distributor stock the tool recommends the optimized orders for each distributor coupled with an operational dashboard that helps replenishment planners provide context to replenishment predictions and enable final decision making.
Power Consumption Optimization Tool
Elevated power consumption peaks can significantly impact energy expenditures across the system. However, by adjusting independent activities, these spikes can be mitigated. Our innovative solution utilizes a sophisticated algorithm that carefully analyzes sensor data. It skillfully calculates and presents various alternative scenarios, showcasing potential savings in each. This empowers informed decision-making and prompts actionable task reallocations, resulting in substantial cost reductions.
AI Based Customer Service QA
This AI-based call quality assurance solution has been designed to optimize the process of call reviewing and reporting, making it nearly real-time. By using state-of-the-art natural language processing techniques, the solution can listen to calls and generate profiling reports for agents. These reports can be used to guide performance measurement and training.
Vision-based Hypermarkets Analytics Tool
Utilizes advanced computer vision for customer behavior insights and store operations. Tracks footfall, movement, and interactions, aiding layout optimization. Generates heat maps, predicts stock shortages, and features an intuitive dashboard for accessible insights
Product Detection of Supermarkets Leaflet
Using advanced object detection machine learning models, we effortlessly extract product images from supermarket leaflets. Our RPA technology secures leaflet extraction from diverse websites, seamlessly integrating them into the ML model after precise formatting. We extract products and prices and feed them to your trade promotion management system. Engaging dashboards unveil client discounts, comparing price points with competitors, enriching your strategic insights.
ML Based Sales Forecasting
Our Cutting-Edge Forecasting Solution: Redefines sales projection dynamics. Harnessing advanced techniques, we predict sales trends with precision. Through advanced ML Models, we anticipate market shifts and demand patterns. Our platform empowers informed decision-making, enabling proactive inventory management and resource allocation. Visualize future market scenarios through intuitive dashboards, aligning strategies for optimal growth.
Intelligent Customer Segmentation
Customer segmentation can help businesses better understand their customers’ needs and preferences, which can lead to more effective marketing and sales campaigns. Orion AI boosts businesses with the ability to analyze large amounts of customer data and behaviors to segment their customers into clusters using state-of -the-art machine learning techniques. This helps businesses identify hidden patterns and insights that would be difficult to find using traditional methods.
TECHNOLOGIES
FAQ
Data analytics is a term used to describe the various tools and techniques used to extract insights from the existing data. This includes everything from visualization and machine learning to more traditional methods such as statistical analysis. The technology is constantly evolving, and new tools and techniques are being developed all the time. Our company selects a custom combination of methods and techniques to address the unique needs of a particular client
Data analytics as a service is used for a variety of purposes, from analyzing customer insights to understanding images and videos. It is a way to outsource the data analytics development process to companies that can share their expertise and reduce the costs of hiring an in-house team.
Some of the services that a data analytics company can provide include data mining service, analysis, predictive modeling, and more. They can help organizations to make better decisions by providing insights that would not be apparent from looking at the input alone. Data experts can also help to improve the efficiency of decision-making by automating the process of input analysis.
Many companies are using data analytics and innovation to make better decisions and improve their businesses. Here are some of the benefits that data analytics service providers can deliver for your company:
o Improved decision making: make better decisions by analyzing input and finding patterns.
o Improved customer service: understand your customers better and provide them with better service.
o Improved efficiency: automate tasks and processes, making your company more efficient.
o Improved financial performance: optimize your business to improve your financial performance.
The overriding objective of Big data for development is to uncover trends, patterns, and hidden relationships in vast datasets. Analytical solutions can process any type of data, whether it’s structured or unstructured. They also help devise new business opportunities and the optimum strategic moves.
Big data analytics provides the raw material for AI-enabled systems to surface actionable insights from your data. With this synergy, you can embrace advanced analytics capabilities more easily, including augmented or predictive analytics solutions.
BI adoption is a process of transforming the business into a data-driven organization by integrating effective data processing, analytics, and visualization across the enterprise. It includes using information technology to transform raw data into useful information that can be used to make decisions and take action. Organizations that aim to implement a business intelligence solution have to consolidate multiple databases into one central repository that can be accessed by all employees, making it easier to manage the business and dig up insights.
Power BI implementation cost depends on the project complexity, data quality, sources, deadlines, etc. Thus, if the company has a mature infrastructure with consistent data governance practices, the costs will be lower than developing the whole infrastructure from scratch.
With a choice so wide, it can be challenging for companies to land the right tech partner. The main selection criteria include:
o Tech expertise – a diverse set of skills, credentials, and certifications in the field of data, artificial intelligence, and related technologies.
o Projects in your or adjacent domain – a relevant portfolio with similar projects, preferably showcased on a provider’s website.
o Future maintenance and support opportunities – post-production support to address any issues after deployment.
o Strong employer brand – industry awards, positive testimonials, and unequivocal positioning.
o Reliability & transparency – all terms and conditions are documented in a transparent agreement.
o Communication & agility – direct client engagement in the project, regular communication via a single communication channel, and change-friendly project management.
The post-implementation phase is crucial for the successful adoption of a business intelligence application.
First, it is important to ensure that all users are trained on how to use the application. This includes both the technical aspects of the application and how to interpret the data that is provided by the application. Second, an adopter should establish clear goals and KPIs for the application. This will help ensure that the application is being used to its full potential and that it is providing the most value to the business. Finally, regular maintenance and support activities help ensure low incident occurrence, proactive issue resolution, and reduced total cost of ownership.
Our experienced BI technology experts help organizations maintain BI applications and elevate existing BI solutions including analytics, reporting, ETL, and others. We are well-versed in a wide range of business intelligence platforms and databases to provide individual maintenance cadence for unique needs.
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