AI Solutions Transforming a Business - 4 practical examples

Solution for subcontractor management in the construction industry

We had several goals to achieve working on this project: build a much more intelligent, efficient platform that is able to support dynamic decision-making and streamline operations. 

Our AI and ML (machine learning) developers performed several upgrades to the platform:

• Implemented AI-Driven Matchmaking Algorithm

This algorithm became the new heart of the system, being designed to connect project managers with the most suitable subcontractors. By analyzing historical data, subcontractor performance, and project requirements, the AI algorithm identifies potential matches that align with specific project criteria. This predictive matching helps reduce the time spent on searching for qualified subcontractors and increases the accuracy of matches, thereby speeding up the procurement cycle.

• Natural Language Processing (NLP) for Tender Management

Our AI/ML developers updated the platform with NLP capabilities, now it can automatically interpret and categorize tender documents. This AI functionality enables the platform to extract key information from tenders, such as project scopes and required skills, and use this data to facilitate more accurate and relevant subcontractor recommendations. Additionally, NLP is used to streamline communication between parties, allowing the system to generate and understand complex inquiries and responses, which simplifies negotiations and clarifies project requirements.

• Predictive Analytics for Bid Evaluation

The prediction of project outcomes and smart bid making became possible after utilizing AI-driven predictive analytics. The system analyzes past bids, market trends, and subcontractor reliability to minimize risks associated with project delays and subcontractor performance and select the most cost-effective proposals.

• Automated Invoice and Payment Processing

It became possible to automate the invoice and payment processes inside the app by integrating machine learning models. This helps ensure accuracy and reduces administrative overhead. Being developed by our dev team, the AI system is trained to detect discrepancies in invoices, predict payment delays, and suggest optimal payment schedules. Improved payment process gave two major benefits: smoother financial transactions and enhanced subcontractor satisfaction.

Overall, AI technologies significantly advanced the capabilities of the app.

Mobile self checkout solution

The goals our client set for us were streamlining customer experiences, optimizing store operations, and providing valuable insights into consumer behavior. So, this is what we actually did and achieved using AI solutions.

• Built AI-Enhanced Product Recognition

To speed up the checkout process and also reduce errors in item identification our team developed AI-powered product recognition system that uses computer vision to identify items quickly as customers scan NFC tags or QR codes. The system can adapt to new products and variations in packaging by continuously learning from new data, thereby improving its accuracy over time.

• Personalized Shopping Recommendations

Being integrated into the app, AI algorithms analyze customers' shopping history and preferences to provide useful product recommendations. In a nutshell, the customer receives suggested items list that are likely to be of interest to him, potentially increasing sales and customer satisfaction. 

• Fraud Detection and Prevention

The AI system CGS-team developed can analyze patterns and anomalies in purchasing behavior to detect suspicious activities that could indicate fraud. This helps protect both consumers and retailers, ensuring transactions are secure and trustworthy.

• Automated Customer Service

AI chatbots incorporated into the app provide real-time assistance to customers, answering questions about products, guiding them through the checkout process, and resolving common issues without human intervention. This not only improves the customer service experience but also allows sales staff to focus on more complex customer needs.

As seen from the mentioned above, the app was updated with improved speed and accuracy of the self-checkout process, personalized the customer experience and service, and increased sales numbers.

An online marketplace

• AI-Enhanced Search Algorithms

• Dynamic Personalization Engine

• AI-Powered Auctions and Quizzes

• Fraud Detection Systems

A platform were musicians can engage and connect with their followers

The improved content accessibility, enhanced user engagement, and streamlined content management - these were the main points to work on.

• AI-Powered Audio Content Transcription

Following modern requests, our development team integrated AI-powered audio content transcription service into the app. This technology utilizes state-of-the-art speech recognition algorithms to convert spoken words in tracks, podcasts, and live streams into text. This transcription not only makes the content more accessible but also searchable. Users can quickly find specific topics or mentions within audio content. 

• Smart Contracts for Content Monetization

Web3 technology is a must nowadays, so we integrated it into the platform. It uses AI to manage smart contracts for content monetization. This setup automates transactions and ensures that copyright holders are compensated fairly and transparently for the use of their music and content.

• Event Prediction and Management Tools

The app was also improved with AI-driven analytics. The algorithm analyzes historical data and audience demographics to predict the best times and locations for concerts and live streams. This predictive insight helps artists maximize attendance and engagement. AI also assists in managing event logistics by forecasting resource requirements and optimizing scheduling, reducing the organizational burden on artists.

• Content Discovery and Recommendation Engine

AI solutions were also used to power the app’s recommendation system. Now it can analyze users' listening habits, preferred genres, and interaction data to suggest relevant new content. This personalization helps keep users engaged and increases the time spent on the app, benefiting both musicians and listeners by enhancing content reach and engagement.

To Conclude

Utilizing Web2 technology or just supporting your legacy project, you are missing great features of AI and ML. CGS-team has numerous projects where AI Solutions helped either modernize an existing project or create a scalable futuristic project which will be able to withstand competitive pressure for years due to the use of AI and ML. 

​Let’s find out how AI Solutions can help your startup or already functioning business to scale up!