Sales wins not through "phrasing" but through "order." We generate talks tailored to the product, industry, and situation using AI, standardizing the quality of proposals.
The reasons for losing B2B sales are often not due to price or product, but rather due to "insufficient design of communication." Proposals that do not match the client's situation, lack of comparative criteria, weak handling of objections, and ambiguity in next actions can accumulate, causing negotiations to stall at "under consideration." On the other hand, top salespeople adjust the "order of conversation," "ways of comparison," and "assertiveness" according to the situation, even with the same product. In this service, we will design a system that generates sales talks (hearing questions, proposal outlines, comparative explanations, objection handling, closing) using AI, tailored to the product, application, target roles (purchasing/design/field/management), and consideration phases. This is not just about generating text; we will establish a "winning pattern" that can be replicated by anyone. ■ Offered Content (3 Points) 1. Design of winning talk patterns (frameworks by phase and role) 2. AI generation design (input items, output format, rationale/restrictions) 3. Operational design (improvement through field feedback, log auditing) *First, please tell us about your "main products" and "common reasons for losing sales (points where you lose in comparisons)." We will translate this into a talk pattern.
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basic information
■Concerns like these - The quality of sales proposals varies by representative - Technical explanations are lengthy and fail to convey value - Explanations are weak in competitive comparisons, leading to price competition - Unable to take the next action in the initial business meeting - Top sales techniques are becoming personalized ■Provided Content (Details) - 1) Design of sales talk "templates" (a template is needed before generation) - 2) Input design for AI generation (granularity that can be input by the field) - 3) Output format (fixed in a usable form) - 4) Guardrails (preventing accidents with generative AI) - 5) Operations (improving based on wins and losses in the field) ■Deliverables - Sales talk templates (phase-specific × role-specific templates) - Generative AI specifications (input items, output formats, prohibitions, rationale presentation) - Comparison axis templates (measuring stick to win in competitive comparisons) - Objection handling collection (price, delivery, compatibility, quality, track record) - Closing collection (how to take the next action) - Operational rules (reviews, logs, improvement cycles) - KPI design (conversion rate, next appointment rate, estimate submission rate, contract rate)
Price information
■3 million to 18 million yen (varies based on scope, collaboration, and operation) - Light (type design + basic generation specifications + template collection): 3 to 6 million yen - Standard (role/phase branching, objection handling, operational design, verification): 6 to 11 million yen - Extended (CRM integration, log learning operation, automatic document/email generation): 11 to 18 million yen *Estimate required
Delivery Time
※Shortest 4 to 6 weeks / Standard 2 to 3 months
Applications/Examples of results
■Purpose - Standardization of sales talks (elimination of individual dependence) - Improvement of win rates through competitive comparisons (presentation of comparison axes) - Strengthening of objection handling (avoidance of price competition) - Acquisition of next actions (improvement of appointment and estimate submission rates) - Acceleration of new employee training (reproducible models) ■Examples of Achievements - Many price objections → Improved win rates by organizing comparison axes and responses - Long technical explanations → Promoted understanding with a 30-second summary and structured order - Initial meetings stagnate → Improved next action rates with a closing approach ■Approach 1. Current situation analysis: Sales logs, reasons for lost deals, interviews with top salespeople 2. Model design: Create winning templates by phase and role 3. Generation design: Confirm input → output → usage scenarios 4. Testing: Generate talks in real sales cases and validate on-site 5. Operation: Tag successes/failures for monthly improvements 6. Deployment: Expand to new employee training, standard materials, and email templates
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