Generative AI can radically boost efficiency, spark creativity, and bolster operational performance, provided the correct measures and regulations are enforced. Maximizing the technology's potential while minimizing its risks will require ongoing research, development, and open discussion. As we pioneer into the AI era, our mission is to empower our clients to leverage the boundless potential of generative models in shaping their digital future.
As a company with significant experience in delivering top-notch AI projects, we can help you:
of occupations could be partially automated by generative AI advances
faster software development with generative AI coding support
of new drugs and materials will be systematically discovered using generative AI by 2025
of the design effort for new websites and mobile apps will be automated with generative AI
Located in Germany, our client offers comprehensive e-commerce and subscription management solutions, adeptly monetizing digital products, online services, and SaaS in diverse sectors. Their cloud-based e-commerce platform is an elegant solution to recurring billing, customer experience optimization, and a one-stop shop for global compliance and payment needs.
Our client wanted to lower their customer churn rate and increase the Customer Lifetime Value (CLTV) by adopting Machine Learning (ML) for predicting subscription churn and guiding communication strategies. They also required the use of Generative AI to craft appropriate marketing content.
N-iX developed and set up an ML system for our client that enabled the smooth integration of ML models, with MLOps techniques supporting constant operations and service. We established a specific multi-tenant ML solution that predicts subscription churn and bolsters this with AI algorithms to suggest effective communication tactics.
We aided the client in automating marketing responses for groups identified by churn likelihood. N-iX's work improved retention through a data-centric approach, faster content creation, and less reliance on manual tasks. This led to more personalized and efficient customer experiences.
Our client, a front-runner in the global technology marketplace, presents a unique platform for software comparison. With a 60M annual user base, the platform enables users to submit reviews on various software categories.
2021 - present
The client aimed to introduce aggregate product reviews to improve their SEO. The critical challenge was the selection of an optimal summarization algorithm that ensured coherent results while avoiding data loss. The goal was to derive a deterministic structured output from a large language model (LLM) while limiting the number of words processed at a time.
N-iX developed an OpenAI-based solution that produced structured aggregate reviews containing each product's general information, pros, and cons. The solution was tested on 50 product reviews across 30 categories from the past six months, with results fine-tuned based on client feedback.
This solution provided the client independence from third-party review services, automated review generation, and ensured scalability for larger data volumes. The GPT LLM yielded higher quality output than smaller NLP models and was quicker to implement than custom language models. This reduced the cost of testing the client's hypothesis and could enhance their SEO if it proved correct.
Validate the feasibility of Generative AI use cases, increasing the chances of
achieving the desired outcomes and maximizing the potential of Generative AI.
Design a prototype to represent a core business idea
Find the technical solution for the problem or compare alternatives
Verify the feasibility of a technical solution
Implement a critical business module with a real team to build financial confidence