Processes: market research when planning or conducting the feasibility of market entry into a new market or country.
Problems: costly and time-consuming, particularly when marketers lack local language proficiency, preventing access to critical, context-specific market information and local regulatory details.
Use Case: AI utilises methods like HTML parsing, Natural Language Processing (NLP), and Neural Machine Translation (NMT) to find, translate, and contextualise market information (e.g., import requirements) from foreign-language sources. This provides accelerated, cost-efficient access to foreign market data that would otherwise be inaccessible.
Case study: We custom-designed an International Marketing AI tool for trade specialists advising smaller UK companies on exports, initially customised for Spanish sources in a South American market. By employing Retrieval Augmented Generation (RAG), the tool significantly helped improve productivity, saving considerable time in market research from Spanish sources for new market entry plans.
