Abstract

This research aims to study and analyze strategies for the strategic application of artificial intelligence in marketing by developing a framework that guides artificial intelligence planning strategies in marketing systematically and can be followed up by making decisions about service strategies at the J&T Company. The research locus is the object and source of data from the place being researched so that the information obtained can provide accurate data and truth in research. J&T Cargo is a technologically innovative express company under the auspices of the J&T Group. The locus of this research was carried out at: Marketing manager, HR manager and marketing expert team. The qualitative approach carried out through the data analysis technique used is the Manual Data Analysis Procedure (MDAP) by Rofiah, (2022), from the results of interviews accompanied by triangulation of sources, methods and theories it can be concluded that artificial intelligence for marketing strategies at J&T Cargo is used to determine preferences. Various Consumer Segments; Micro Segment Customers; Target Cause Marketing Outreach; Identify the Best Target; Refining Customer Based Perception Maps; Positioning Slogan; Psychographic Consumer Segmentation; Tourism Consumer Segment; New Customer Promotion Target; Target Digital Consumers; Target Customers Based on Brand with the aim of monitoring local market developments, so that in this business J&T Cargo is not left behind compared to other competitors. This paper also contributes to strategic marketing research by providing a systematic and rigorous approach to identifying research gaps that bridge strategic marketing practice research and artificial intelligence.

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