Chatbots are useful for customer service because they can provide 24/7 support, answer simple and complex questions, and help customers resolve issues quickly. They can also be used to collect customer feedback and track customer interactions more efficiently. Overall, it is a new way for your customers to interact with your services.

Churn prediction will allow Devoteam to identify customers that are at risk for cancelling their subscription. These customers can then get targeted with promotions to make sure they do not churn.

Using Generative AI, Devoteam can create a personal assistant that can take into account a customer’s goals, preferences and current capabilities to construct a custom training plan for each customer. This can replace expensive personal trainers OR it can serve as a tool to facilitate personal trainers by generating plans for them to review.

By looking at customer visit information, premium members bringing along friends etc. Devoteam is able to identify which customers are “super spreaders” and are likely to promote the brand to their close circle. This will allow Devoteam to then target those friends through promotions etc.

Using behaviour in the app, on the website and on social media, Devoteam can identify interests of individuals. Devoteam can then use Generative AI to dynamically generate ads that show the items that each person is interested in. This will make those more attractive.

As a customer base grows, so does the need for customer care. This is often a costly process due to the amount of people involved. Contact Center AI aims to automate customer care by using an AI chatbot as the first line of contact between a customer and support. In case the chatbot is not able to resolve the issue, the case can be delegated to a support agent. In this case, the agent can leverage features like Agent Assist to more quickly resolve the case using relevant information.

Identify fraudulent documents or transactions based on properties of the transaction and the parties involved. This helps companies comply with regulatory requirements and can avoid large monetary impacts.

Assign a credit score to customers based on their financial situation and external circumstances. This can help institutions establish trustworthiness of these customers and is typically used to assess eligibility for a loan, which interest rates to apply, etc.

Based on attributes of a product, Generative AI can be used to automatically generate product descriptions to display on a website. This will make it easier for customers to understand the different products on offer.

Based on product attributes, product purchase behaviour and external factors such as promotions, holidays, etc, an ML model can predict the price that will generate the optimal revenue. This can help a company maximise profits.

Devoteam can help a customer’s ML team by reviewing their current set of MLOps practices. Based on experience from previous implementations, Devoteam can then provide a set of recommendations on which changes should be made to increase ML team productivity and production system robustness. Depending on the customer’s preference, Devoteam can then either implement these recommendations or provide the customer’s ML team with guidance on how to implement them themselves.

Enterprise Search allows customers to provide a knowledge base to Generative AI so that end users can interact with this knowledge base through a chat-like experience. They will for example be able to ask the system to reason across documents to provide the best answer possible. There are different sources that can be used: a public website, a BigQuery table or a set of documents stored on Cloud Storage.

Document AI allows customers to automate document processing for a large variety of use cases. Document AI supports many different document types out of the box and is able to extract relevant entities out of those which can then be used for further processing. Devoteam has a lot of experience in automating end to end document processing workflows which can significantly reduce the load on the finance team at the customer. Next to financial applications, Document AI also supports legal documents like contracts and has general parsers to tackle any workload.

Advertisements play an important role in any business. It helps expose new customers to the business and it can also increase revenue generated from existing customers. ML models can help in significantly increasing the amount of revenue generated per dollar spent on ads. This is done by ensuring that the correct customers are seeing the correct ads at the right time.

A recommender system recommends relevant content or products to a specific user. This is done by analyzing user behaviour, product attributes. Most often, this is implemented through embeddings. These mathematical representations of users and products allows for the detection of similarities between different products and users. Next to this it also allows you to search for users interested in a particular product or the other way around, products a user might be interested in.

A recommender system recommends relevant content or products to a specific user. This is done by analyzing user behaviour, product attributes. Most often, this is implemented through embeddings. These mathematical representations of users and products allows for the detection of similarities between different products and users. Next to this it also allows you to search for users interested in a particular product or the other way around, products a user might be interested in.

Plan complex inventory/delivery in’s & out’s across all of the stores. The main benefit of this is to optimize stock at each of the stores. Ensuring that each store has the necessary items in stock and is not storing too much of each item.

Using Computer Vision techniques, Devoteam G Cloud can help customers detect defects in products on a production line. This will help reduce operational cost and ensure that only high quality products get delivered to customers.

By monitoring the operational metrics of devices, you can detect devices that are either operating outside of normal conditions, or will do so soon. This means customers can repair or replace these devices before these defects actually impact the business.

The goal of demand forecasting is to help businesses make informed decisions regarding production, inventory management, resource allocation, and overall business planning. By anticipating customer demand, organizations can optimize their supply chain, reduce costs, and improve customer satisfaction. Accurate demand forecasting enables businesses to align their production and distribution strategies effectively, ensuring that they meet customer needs while minimizing excess inventory or shortages.

The objective of anomaly detection is to identify and flag unusual occurrences that may indicate potential fraud, errors, faults, or anomalies in various domains such as finance, cybersecurity, industrial systems, or healthcare. By employing statistical modeling, machine learning algorithms, or rule-based methods, anomaly detection systems can automatically detect and alert on unusual events, enabling timely intervention or investigation. The primary aim is to distinguish rare events from the majority of regular patterns, providing valuable insights and facilitating proactive decision-making to mitigate risks and ensure operational stability.

Even if your specific use case is not found here don’t hesitate to contact Devoteam’s AI experts as custom solutions might still be possible given the flexibility of AI.