Internal Sales Management, ChatGPT Collaboration Issue Forecast

Internal Sales Management, ChatGPT Collaboration Issue Forecast 20231130
This is a process for recording internal sales contact activities. The contact person collects customer information and inputs information about the business, company size, etc. Based on the entered customer information, ChatGPT predicts the issues the customer may have. The contact person can consider proposals based on the predicted issues.
Worker (#of Swimlane: 4)
  • Account / Internal Sales
    • Internal sales or field salesperson
  • Internal Sales
    • Internal salesperson
  • Inside Sales Leader
    • Internal sales leader
  • Account Sales
    • Field sales personnel
Business Flow (Complexity of Workflow: 24)
  • 90. Manual start
    • The internal sales or field sales representative manually enters the lead’s information.
  • 71. Interviews with prospective customers
    • The inside sales representative interviews the lead and enters the results.
  • 142. Final check
    • The internal sales leader decides whether it is safe to close the lead.
  • 173. SAL Evaluation (Sales)
    • Field sales representatives enter the results of the evaluation of the leads passed on.
  • 77AI predicts issues
    • The workflow platform asks AI (ChatGPT) to make assumptions about issues.
  • 73x1. Obtained from other apps (lead management)
    • The workflow platform retrieves data from previous lead management processes (to determine whether a lead has been contacted in the past).
  • 76x2. Set as having past contact
    • The workflow platform is flagged as having past contact.
  • 29x3-1. Subject and SAL processing result set
    • The workflow platform sets the subject and SAL processing results.
  • 18x3-2. Subject and SAL processing result set
    • The workflow platform sets the subject and SAL processing results.
  • 28x3-3. Subject and SAL processing result set
    • The workflow platform sets the subject and SAL processing results.
Business Process Variables (#of Data Item: 49)
  • Lead Type q_lead_kind 11*
    • Stores the type of lead.
  • Email Address q_email 0*
    • Stores the email address of the lead.
  • Company Name q_corp_name 1*
    • Stores the lead’s company name.
  • Business details, company information, etc. (to inquire about potential issues to ChatGPT) q_ChatGPT_info 10
    • Stores information about the lead’s company. (used for recording as internal sales and for queries to ChatGPT).
  • Issues expected from the business content (according to ChatGPT) q_ChatGPT_completion 27
    • Stores the issues that ChatGPT envisages the lead company will have to deal with.
  • Handler’s Name q_person_name 2
    • Stores the name of the person in charge of the lead.
  • Telephone Number q_tel_no 3
    • Stores the lead’s phone number.
  • Department Title q_div_name 4
    • Stores the lead’s department title.
  • Workflow Platform ID q_wf_platform_id 6
    • Stores the workflow platform ID of the trial that the lead applied for.
  • Trial Start Date and Time q_trial_start_datetime 28
    • Stores the start date and time of the trial that the lead applied for.
  • Trial End Date and Time q_trial_end_datetime 29
    • Stores the end date and time of the trial that the lead applied for.
  • Consultation (Motivation for lead) q_motivation 48
    • Stores the lead’s consultation matters (motivation).
  • Customer Messages q_message 5
    • Stores the message when a lead applies for a trial.
  • ◆ BANTCH Information Conformity Conditions / Motivation Score 21
  • Budget q_fit_gap_bagdet 30*
    • Stores the results of hearings regarding the budget.
  • Budget Details q_bantch_condition_badget 12
  • Spacer (1/4) 36
  • Authority (Decision-maker/Position) q_fit_gap_authority 31*
    • Stores the hearing results regarding the approver.
  • Authority (Decision maker/Position) Details q_bantch_condition_Authority 22
  • Spacer (1/4) 37
  • Needs q_fit_gap_needs 32*
    • Stores the results of interviews regarding needs.
  • Need Details q_bantch_condition_needs 23
  • Spacer (1/4) 38
  • Timing (Period of consideration) q_fit_gap_timing 33*
    • Stores the results of hearings regarding consideration timing.
  • Timing (Period of consideration) Details q_bantch_condition_timing 24
  • Spacer (1/4) 39
  • Competitor q_fit_gap_competitor 34
    • Stores the results of hearings regarding conflicts.
  • Competitor Details q_bantch_condition_competitor 25
  • Spacer (1/4) 40
  • Human Resources q_fit_gap_human_resources 35
  • Human resources Details q_bantch_condition_human_resources 26
  • Spacer (1/4) 41
  • Product Description Result q_result_of_service_introduction 42
    • Stores the results of the product description (when, to whom, what was explained and what was understood).
  • Motivation Score q_motivation_score 13
    • Stores information obtained from customer behaviour and interview results on lead motivation.
  • SAL Points q_SAL_point 8*
    • Stores the results of point calculations from the lead’s motivation score.
    • 0
  • SAL Conformity Conditions q_SAL_conditions 54*
    • Stores the results of checking whether the lead is suitable for the SAL.
  • ◆ Marketing Department: Evaluation 15
  • Validity (Marketing) q_validity_marketing 17*
    • As a marketing department (internal sales department), it stores whether the decision to terminate was reasonable.
  • Validity Comment (Marketing) q_validity_comment_marketing 19
  • Spacer (1/4) 45
  • ◆ Sales Department: Evaluation 16
  • Validity (Sales) q_validity_sales 18*
    • Stores whether the decision to give the lead to the sales department was reasonable or not.
  • Validity Comment (Sales) q_validity_comment_sales 20
  • ◆ System Usage Information 9
  • SAL Processing Results q_SAL_result 47
    • Stores the results of how the lead was processed.
  • Sales Contacted q_sales_touch 7
    • Stores whether a sales contact has already been made in the past.
    • false
  • Communication Record q_communication 14
    • Stores notes and comments.
  • Historical Contact Data CSV q_csv 57
    • Stores data csv obtained from past lead management processes (to determine if a lead has been contacted in the past).
  • Past Contact Data Count q_count 58
    • Stores data retrieved from past lead management processes (to determine if a lead has been contacted in the past).

Field Name, num, Initial Value

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Notes

  • In the settings for the ChatGPT linkage part, the model deliberately selects ‘gpt-3.5-turbo’ (‘gpt-4’ is likely to result in a time-out, and ‘gpt-3.5-turbo’ is judged to be fine in terms of content).

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