{"id":19596,"date":"2025-08-25T11:29:59","date_gmt":"2025-08-25T09:29:59","guid":{"rendered":"https:\/\/www.centralmarketingintelligence.it\/how-artificial-intelligence-is-changing-the-way-we-do-market-research-and-how-were-integrating-it-too\/"},"modified":"2025-08-25T11:29:59","modified_gmt":"2025-08-25T09:29:59","slug":"how-artificial-intelligence-is-changing-the-way-we-do-market-research-and-how-were-integrating-it-too","status":"publish","type":"post","link":"https:\/\/www.centralmarketingintelligence.it\/en\/how-artificial-intelligence-is-changing-the-way-we-do-market-research-and-how-were-integrating-it-too\/","title":{"rendered":"How artificial intelligence is changing the way we do market research (and how we\u2019re integrating it too)"},"content":{"rendered":"\n

Artificial intelligence is shifting from an emerging technology to an integral part of our daily lives. We see it in healthcare, transportation, education, and financial services. It\u2019s a silent yet profound transformation that is rewriting the way entire systems operate. <\/p>\n\n\n\n

The business world is no exception: AI is entering processes, simplifying them, accelerating them, and making them smarter. <\/p>\n\n\n\n

A concrete example is market research<\/strong>, where the sheer volume and complexity of data make AI a valuable tool for working better, faster, and with greater depth.<\/p>\n\n\n\n

But what can AI really do for those involved in strategic analysis?<\/p>\n\n\n\n

Three areas where AI improves research<\/strong><\/strong><\/h2>\n\n\n\n

Faster and more targeted data collection<\/strong>
<\/strong>Artificial intelligence can sift through sources, online data, and documents in a fraction of the time. This speeds up the exploratory phase and immediately increases both the quantity and quality of available information.<\/p>\n\n\n\n

Faster and more in-depth analysis<\/strong>
<\/strong>Well-trained AI models can process large volumes of data, detect trends, identify signals of change, and spot anomalies. This enables analysts to gain a broader, clearer, and more up-to-date view of the market context.<\/p>\n\n\n\n

Discovery of patterns and <\/strong>strategic insights<\/strong>
One of AI\u2019s real strengths is its ability to identify connections between seemingly unrelated data, providing valuable insights for building more targeted and flexible strategies.<\/p>\n\n\n\n

We at CMI are also experimenting with new integrations<\/strong><\/strong><\/h2>\n\n\n\n

With the goal of further improving the effectiveness of our analysis work, we are integrating artificial intelligence into our processes. We have developed an internal Smart<\/strong> Assistant<\/strong> designed to support our team during the intelligence phase.<\/p>\n\n\n\n

This AI agent does not replace analysts\u2019 work but enhances it: it saves time in operational phases, freeing up resources for the more strategic and interpretative aspects of the job.<\/p>\n\n\n\n

A project supported by the PR FESR FVG contribution<\/strong><\/p>\n\n\n\n

The first phase of the project to integrate artificial intelligence into CMI\u2019s research processes was carried out with the PR FESR FVG contribution<\/strong> of \u20ac21,026.70<\/strong>, 40% of which was co-financed by the European Union<\/strong>.<\/p>\n\n\n\n

The initiative aims to innovate Arcadya Srl<\/strong>\u2019s internal activities by leveraging its information assets, improving process efficiency, and strengthening business competitiveness.<\/p>\n\n\n\n

Specifically, the project involved developing an advanced virtual assistant<\/strong> powered by generative AI, designed to support the team\u2019s intelligence activities through automation, predictive analysis, workflow customization, and content generation.<\/p>\n\n\n\n

The main objectives of the project are:<\/p>\n\n\n\n