AI Transforms Sales by Turning Wedding Nuances and Job Postings into Strategic Data

Sales has long been classified as a "human domain" that is difficult for artificial intelligence (AI) to penetrate. However, as AI technology advances in collecting vast amounts of data and analyzing context, the very method of sales is undergoing a fundamental transformation. The era of relying simply on personal networks or physical visits is giving way to an era where strategies are devised by capturing a customer's hidden intentions and the movements of decision-makers through data.

An interview with Kim Woo-jin, CEO of Business Canvas, shared by T Times TV, contains specific examples of how AI is changing the corporate sales landscape. Defining the essence of sales and marketing as "a deep understanding of the customer," Kim emphasized that AI can serve as a powerful tool to expand the scope of this understanding.

Identifying customer 'deficiencies' through job postings and satellite imagery

While traditional sales began with visiting a client company to meet a person in charge, AI-based sales starts by reading the situation of the client company through data. Kim explained that the data sources used to identify corporate needs are highly diverse. In particular, he cited "job postings" as the clearest indicator of a company's "deficiencies."

The job descriptions posted by companies reveal in detail the competencies currently required by the organization and the weaknesses that need to be supplemented. For example, if a company is hiring someone for automation in a specific manufacturing process, it is sending a strong signal that there is a high need for process automation. AI analyzes these postings to enable specific proposals, such as, "By providing our AX (AI Transformation) solution, we can reduce the client's costs by this much." Kim explained that through such data analysis, it is even possible to predict a client's KPI (Key Performance Indicator).

The scope of data extends beyond the online world into physical spaces. Kim introduced a case of using satellite imagery to determine the utilization rate of logistics warehouses. When explicit data is unavailable, AI logic is used to analyze the movement of logistics warehouses in satellite photos to infer a company's activity level. The core of AI sales is gathering these scattered pieces of data to create a single context. Applying this to B2B sales, Kim stated, "The key to successful matchmaking is finding the intersection between the other party's USP (Unique Selling Proposition) and their needs."

Social media posts reveal the identity of 'decision-makers'

The success or failure of B2B sales depends on accurately targeting the "Decision Making Unit" involved in the decision-making process. Kim revealed know-how for capturing the movements of these individuals through social media, noting that posts on business social media platforms like LinkedIn serve as decisive "signals."

For instance, if an executive posts on social media after finalizing a contract, tagging (Mention) team members with a message like, "Great job to all the members of the purchasing team who worked hard together," it serves as important data that goes beyond a simple congratulatory greeting to reveal who the decision-makers in that company are. AI collects this public information to map out the relationships of individuals involved in purchasing decisions. "When these small actions are combined with context, they can become major signals," Kim said.

There was a case where the AI system 'Athena' captured information that a key figure from a U.S. company was visiting Korea. The data included the specific context that the individual was entering the country to attend a wedding with a Korean. Business Canvas did not miss this timing and arranged a meeting by creating a point of contact. Moving beyond simple cold emails, they achieved a meeting with a global company through a sophisticated approach tailored to the customer's situation. "We captured the timing of a U.S. company executive coming to Korea for a wedding, provided guidance, and even successfully arranged a meeting," Kim said, noting that this led to meaningful results that reached the Top-level.

Data resolves 'information asymmetry' and creates new sales capabilities

Regarding ethical concerns over data usage, Kim drew a line by stating that he focuses on solving customer pain points based on "publicly available data." He explained that understanding customer needs more deeply to propose appropriate solutions is actually a form of consideration for the customer and an advanced sales method. He added, "Overseas, there are various industry-specific databases, such as those that collect only information on executives or those that sell paths to be introduced to specific executives," suggesting that utilizing these appropriately can be a key nudge for attacking global markets.

Ultimately, what differentiated capability remains for sales representatives in the AI era? Kim believed it depends on the process of converting a company's implicit knowledge into explicit knowledge and how humans strategically utilize the links found by AI between that knowledge and the data. As sufficient data is secured and AI agents efficiently deliver information, information asymmetry will gradually decrease.

Kim predicted that an era will come where agents efficiently find information from both the sales and purchasing sides. Future sales are expected to evolve beyond simply delivering information into "customized solution proposals" that combine sophisticated data analyzed by AI with strategic human judgment.

Source: original video (YouTube)