Sales Marker Launches 'AI Choice' Offering Optimal AI for Each Sales Challenge

Sales Marker Inc. (Headquarters: Shibuya-ku, Tokyo; CEO: Hayato Ogasawara; hereinafter 'the Company') announced the full-scale launch of 'Sales Marker AI Choice', a new model that provides optimal AI solutions for specific sales challenges.

'Sales Marker AI Choice' is a new delivery model that provides the optimal AI solution for each sales challenge. It offers solutions tailored to each process of sales activities, such as appointment acquisition and account conquest.

Background of the Launch

In recent sales activities, more sophisticated customer understanding is required, not just lead generation, but also understanding decision-making structures, optimizing proposal content, and building cross-departmental consensus. On the other hand, on the sales floor, tools and data are fragmented, and it takes time to identify key persons, build relationships, and explore issues. Additionally, the know-how of top salespeople tends to become siloed. Furthermore, the required approaches and key metrics differ for each sales organization, making it difficult to optimize with a single sales support tool. Against this background, the Company will provide optimal AI utilization for each sales challenge through 'Sales Marker AI Choice'. By utilizing intent data and meeting data to support not only 'who to approach' but also 'how to lead to an order', it aims to improve the productivity of overall sales activities and build a reproducible sales organization.

The Value of AI Provided by Sales Marker

Sales Marker supports the entire sales activity based on customer intent data, powered by its proprietary multi-AI agent 'Orcha'. By cross-referencing and analyzing search behavior, web signals, self-company contact data, as well as corporate information, industry trends, organizational structures, and meeting data, it visualizes each customer's consideration background and decision-making structure. As the use of sales AI expands, mainly around approach automation, Sales Marker is expanding its support area based on deep research on customers and markets, from 'who to approach' to 'how to lead to an order'. Furthermore, it identifies highly interested companies and decision-makers, and proposes and executes optimal timing, channels, and sales actions. Through the analysis of meeting data, it also visualizes the causes of stalled deals and the next actions to take. This evolves sales activities, which tend to rely on the experience and intuition of individual sales representatives, into a reproducible sales process that is continuously learned and optimized based on AI and data.

Key Solutions of 'Sales Marker AI Choice'

AI Account Plan (Solution for Account Conquest)

AI Account Plan is an account conquest solution that supports everything from customer understanding and grasping decision-making structures to proposal design, by having AI cross-reference and analyze corporate information, meeting data, and publicly available web information.

Visualization of 'Winning Patterns' through Structuring and Analysis of Meeting Data

The 'AI Meeting' function automates the creation of meeting minutes and extraction of important information from recorded online meeting data. The AI cross-references and analyzes not only conversation logs but also corporate information, past contact points, and public information, organizing key points, concerns, and decision-making information. Based on each customer's issue hypotheses and consideration background, it analyzes the information necessary for winning the deal and missing elements, clarifying the next actions to take.

'Power Chart' for Visualizing Decision-Making Structures

By reflecting the extracted data in the 'Power Chart', it visualizes organizational structure, influence, approval flow, and relationships with key people. This enables strategic account conquest while understanding 'who has influence on decision-making' and 'in what order consensus should be built'.

Automatic Generation of Proposals (PPTX)

By having the AI cross-reference and integrate not only meeting data but also corporate IR information, organizational information, industry trends, and competitive situations, it automatically generates proposals and follow-up emails tailored to the perspectives of management, information systems departments, and on-site personnel. This supports the creation of an environment that enables optimized communication for each customer, regardless of the experience or skills of the person in charge.

Related Case Study: MUFG Bank

A case study of proposal generation supporting everything from research and story construction to PowerPoint output.

AI Appointment (Solution for Appointment Acquisition Leading to Meetings)

AI Appointment is a solution that uses AI to support the entire appointment acquisition process, including 'which company to contact, at what timing, and through which channel'.

Identification of Potential Customers Using Intent Data

Based on intent data such as corporate search behavior and web signals, it identifies companies with high purchase intent. By capturing customer interests and consideration timing, it visualizes targets with high approach priority.

Executing Approaches at Optimal Timing and Channels

It identifies key people based on corporate and departmental information and executes approaches using multiple channels such as email, forms, and SNS. By supporting actions according to the customer's situation with AI, it enables sales activities that do not miss the right timing.

Supporting Reproducible Appointment Acquisition Activities

Based on sales activity data, it accumulates and analyzes effective approach patterns and response trends. It supports reproducible appointment acquisition activities that do not rely on the experience or intuition of individual sales representatives.

Related Case Study: Neo Career Co., Ltd.

A case study of meeting analysis and feedback utilization using the AI Meeting function.