80 lines
2.8 KiB
Python
80 lines
2.8 KiB
Python
from AgentProxy import AgentProxy
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# 根据实际的销售行动结果和销售关键动作，结合AI的先验知识，提出阶段转化标准
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api_key = 'c6bbe7f48063a2c1'
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api_secret = '5f8e7d3a97465cc099bf19bd1b70c266'
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assistant_id = "66bb09a84673b57506fe7bbd"
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agent = AgentProxy(assistant_id, api_key, api_secret)
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sales = [
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{
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"stage": "02-evaluation",
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"high_frequency_tasks": [
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"完成需求确认与收集",
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"完成技术评估与测试",
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"完成项目立项与采购流程",
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"完成市场调研与竞争分析"
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],
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"high_frequency_actions": [
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"客户接触与需求识别",
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"产品演示与方案提供",
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"商务谈判与合同准备",
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"项目支持与优化",
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"内部协调与支持"
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],
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"next_stage": "03-qualification"
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},
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{
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"stage": "03-qualification",
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"high_frequency_tasks": [
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"完成需求确认与收集",
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"完成技术评估与测试",
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"完成商务谈判与合同准备",
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"完成内部审批与预算确认"
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],
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"high_frequency_actions": [
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"客户关系维护",
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"项目支持与优化",
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"客户接触与需求识别",
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"内部协调与支持",
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"商务谈判与合同准备"
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],
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"next_stage": "04-bidding/negotiating"
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},
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{
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"stage": "04-bidding/negotiating",
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"high_frequency_tasks": [
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"完成需求确认与收集",
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"完成技术评估与测试",
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"完成项目立项与采购流程",
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"完成市场调研与竞争分析"
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],
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"high_frequency_actions": [
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"客户关系维护",
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"合同审查与订单处理",
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"客户接触与需求识别",
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"商务谈判与合同准备"
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],
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"next_stage": "closed won"
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}
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]
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for sale in sales:
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stage = sale["stage"]
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high_frequency_tasks = sale["high_frequency_tasks"]
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high_frequency_actions = sale["high_frequency_actions"]
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next_stage = sale["next_stage"]
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prompt = f"""
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你是一个销售领域的专家，
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你根据当前销售阶段 {stage} ,
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某公司统计出的高频销售阶段任务如下：
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{high_frequency_tasks}
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对应阶段的销售关键动作如下：
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{high_frequency_actions}
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请根据以上信息，以及你作为相关专家的经验，给出针对该销售阶段{stage}转化到下一阶段{next_stage}的阶段转化标准,请注意转化标准不要直接使用上面给出的高频任务和高频动作，而要做一定的抽象、总结、归纳，形成一个通用的、抽象的转化标准
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"""
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print(f"---------------stage:{stage}---------------")
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# print(prompt)
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print(agent.send_message(prompt)) |