Applied Artificial Intelligence is not magic. It is based on a special cross-industry methodological approach, which enables companies to save time, costs and resources, optimise processes and increase profits.

Practical and functional collaboration based on offering applications designed to achieve specific goals, mouldable and scalable to suit your organisation.

We also offer AI-based monitoring tools that allow you to:

ARTIFICIAL INTELLIGENCE

Var Group's Artificial Intelligence for companies supports them with the power of results in their specific business journey.

We develop predictive-discriminative AI and generative and conversational AI applications.

The Predictive AI focuses on predicting future states, whereas the Discriminative AI specialises in choosing between different possible scenarios. The generative AI, on the other hand, focuses on the creation of new content, while the conversational AI focuses on natural language interaction between human users and computer systems(it's trained to understand natural human language and generate coherent and elaborate responses in text-based conversations).

Specifically, our conversational generative AI is designed to interact with users as if they were active participants in a conversation, answering questions, providing information, offering explanations, and even generating creative text on a wide range of topics. 

A silent innovation that is slowly changing the way companies interact with their customers, manage their operations, and make strategic decisions. 

Discover our conversational AI app to extract information from your corporate knowledge base, just like a personal assistant at your service:

Var Group Data Science's conversational AI is realised in different environments and processes:

Sales and pre-sales

Conversational AI can support Sales in the sales and pre-sales process, analysing customer behaviour, suggesting products and services based on preferences and purchase histories, and conducting personalised conversations on different platforms, from real-time chat to e-mail. The result? More effective sales and campaigns and a top-class context experience.

Customer and after-sales service

Answering frequently asked questions instantly and cutting waiting times concretely improves customer satisfaction: our AI applications are able not only to converse, but to optimise the customer service process by recognising and extracting parts of text based on textual patterns (dates, e-mail addresses, vehicle registration plates, etc.), analysing parts of speech (nouns, verbs, adjectives, etc.) and their relationships within the period. The extraction of relevant concepts allows for the categorisation of cases, and subsequent typing on the basis of specific dictionaries allows for an understanding of what customers are talking about and the related sentiment.

Today, engineers and technicians working on complex projects can collaborate with AI to solve problems, obtain real-time data, and access technical documentation effortlessly. One application example is our AI-based conversational iteration engines that allow you to easily extract all necessary information from documents, integrating with all software solutions already used in the company including PLM solutions for product lifecycle management, creating a highly collaborative environment.

Conversational AI is also used to take care of the heart of business: data analysis. With the help of tools such as augmented BI, AI makes data more accessible and understandable than ever before. It is not just about Data Storytelling, but a true conversation with the data themselves. AI answers managers' questions and provides immediate insights to take action based on advanced analysis. This combination of analysis and interaction makes decision-making faster and more informed.

Our expertise in the field of applied Artificial Intelligence enables companies to enjoy the journey from data to profit, while we handle all the rest.

KEYWORDS FOR RESULTS: HYPERAUTOMATION AND HYPERINTELLIGENCE

Hyperautomation is the combination of technologies such as Robotic Process Automation (RPA) and other advanced tools, and is used to automate as many activities as possible within an organization, minimizing the need for human intervention within the processes. We have gone a step further: by leveraging the experience of RPA, we are able to replace the purely robotic component with a part of AI, obtaining AIPA.

Hyperintelligence instead refers to the advanced use of AI to analyze and interpret large amounts of data, allowing companies to make more informed and strategic decisions. This area includes technologies such as Natural Language Processing (NLP) and machine learning, to transform unstructured data into useful information.

As a point of reference for Data Science in companies, we have created 2 AI applications designed specifically to unlock corporate knowledge and give the user the information needed, at the right time, thanks to the most advanced technology: discover Hyperdoc and Hyperchat.

GENIUS AND CONCRETENESS IN THE SERVICE OF BUSINESS

Our skills favour diverse sectors: in banking and insurance we have consolidated experience on projects in marketing propensity, credit scoring, fraud detection, pricing, CRM analysis, anomaly detection, Explainable AI, and forecasting, providing advanced solutions for security management and process effectiveness.

In the manufacturing industry, we have improved operational efficiency and product quality through computer vision techniques, and increased the life expectancy of manufacturing plants through predictive maintenance.

For the large-scale retail trade, we have developed dedicated applications for stock management, dynamic pricing, customer segmentation, and to monitor the correct positioning of products on the shelves by creating digital twins.

In the food sector, we have implemented demand planning solutions for the reduction of stock outages and optimisation of warehouse management.

In addition to the various industries, we have solutions for the most advanced industrial needs, especially Computer Vision, also in the safety&security field, offering expertise with respect to people counting and flow analysis, object detection, PPE recognition in work contexts, and motion and behaviour detection and analysis.

We also operate in the energy (HVAC) domain to optimise and predict consumption in contexts such as industries and smart cities, improving energy efficiency and reducing operating costs.

We also serve companies with our expertise in deployment and project task management in cloud environments on all major vendors in the industry, with our teams of specialised and certified experts.

A concrete example of Computer Vision expertise is the application Landing Lens, the computer vision system within the reach of manufacturing companies: thanks to our partnership with Landing AI, we provide the complete cloud platform for visual inspection that allows all development and deployment activities of Deep Learning-based solutions in the industrial environment to be handled with maximum flexibility. A perfect tool for the manufacturing sector, which requires very few images to be trained, and can be adopted immediately on production lines. AI-enabled Visual Inspection, i.e. the detection of defects on a product at the end of a manufacturing or production process, is the boost for truly effective quality control.

ANALYTICS & AI APP STORE

Our Artificial Intelligence within reach of enterprises is designed to deliver results very quickly with ready-to-use applications. Discover our catalogue of applications pre-configured for industrial sector and business process. The ideal tools for optimising the areas of quality, document management and research, demand forecasting, after-sales, customer service, and marketing.

• In the quality area (manufacturing sector): 86% of correct classification of presence/non-presence of the defect in the product;
• to assist in the root cause analysis process, it's been possible to create readable and interpretable insights using a rules engine;
• 50% reduction in manual effort in specific business processes;
• in the production and Retail sectors (Demand Planning process), we obtained demand forecasts that were 70% more accurate;
• reduction in lead time;
•  in the context of monitoring energy consumption within companies, the customer reduced electricity and natural gas consumption for cooling or heating, and therefore the related costs, thus also reducing the impact on the environment, learning in predictive logic.