Classement des opportunités de vente pour BeyondPresence - Intelligence des prospects en temps réel

• •Token Bot Slack ou URL Webhook
• •Point de terminaison HTTP Webhook (généré automatiquement par n8n)

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  "name": "BeyondPresence Sales Opportunity Scoring - Real-Time Lead Intelligence",
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        "content": "## 🎯 Sales Opportunity Scoring System\n\n**What This Does:**\n- Monitors BeyondPresence user messages in real-time\n- Scores leads based on buying signals\n- Detects competitor mentions instantly\n- Estimates potential deal size\n- Sends intelligent alerts to Slack\n\n**Setup Required:**\n1. Configure Slack OAuth2 credentials\n2. Update channel names in Slack nodes\n3. Add BeyondPresence webhook URL"
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        "content": "## 📊 Scoring Logic\n\n**Buying Signals (+Points):**\n- \"interested\" / \"tell me more\" (+20)\n- \"budget\" / \"pricing\" (+15)\n- \"timeline\" / \"when\" (+15)\n- \"demo\" / \"trial\" (+25)\n- \"decision maker\" (+30)\n- \"purchase\" / \"buy\" (+30)\n\n**Negative Signals (-Points):**\n- \"too expensive\" (-20)\n- \"not interested\" (-30)\n- \"just looking\" (-15)\n- \"maybe later\" (-10)"
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        "content": "## 🔔 Slack Alerts\n\n**Automatic Notifications:**\n- 🔥 Hot leads (score > 70)\n- ⚡ Competitor mentions\n- 💰 Large deal indicators\n- 📈 Buying signal clusters\n- 🚨 At-risk opportunities\n\n**Smart Threading:**\n- Groups messages by call ID\n- Shows conversation context\n- Tracks score progression"
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        "jsCode": "// Sales Opportunity Scoring Engine\n// Helper function for recommendations (moved to top for better organization)\nfunction generateRecommendations(score, signals) {\n  const recommendations = [];\n  \n  if (score >= 70) {\n    recommendations.push('📞 Schedule immediate follow-up call');\n    recommendations.push('👤 Loop in senior sales rep');\n    recommendations.push('📊 Prepare custom pricing proposal');\n  } else if (score >= 40) {\n    recommendations.push('📧 Send detailed product information');\n    recommendations.push('📅 Offer demo scheduling link');\n    recommendations.push('📚 Share relevant case studies');\n  } else if (score < 0) {\n    recommendations.push('🎯 Address specific objections');\n    recommendations.push('💡 Focus on value proposition');\n    recommendations.push('📞 Schedule follow-up for better timing');\n  }\n  \n  if (signals.includes('🏁 Competitor Evaluation')) {\n    recommendations.push('⚔️ Prepare competitive differentiation materials');\n  }\n  \n  return recommendations;\n}\n\ntry {\n  // Safely extract input data with validation\n  const input = $input.first();\n  if (!input || !input.json || !input.json.body) {\n    throw new Error('Invalid input structure');\n  }\n  \n  const messageData = input.json.body;\n  const message = messageData.message;\n  const callId = messageData.call_id || 'unknown';\n  const userName = messageData.call_data?.userName || 'Unknown User';\n  \n  // Validate message structure\n  if (!message || !message.message) {\n    throw new Error('Message content is missing');\n  }\n  \n  // Initialize scoring\n  let opportunityScore = 0;\n  const detectedSignals = [];\n  const alerts = [];\n  \n  // Buying Signal Detection with Scoring\n  const buyingSignals = {\n    high_intent: {\n      keywords: ['purchase', 'buy', 'implement', 'contract', 'agreement', 'sign up', 'ready to move forward'],\n      score: 30,\n      label: '🔥 High Purchase Intent'\n    },\n    decision_maker: {\n      keywords: ['decision maker', 'my team', 'our company', 'we need', 'our budget', 'my boss', 'approval from'],\n      score: 25,\n      label: '👔 Decision Maker Indicator'\n    },\n    demo_request: {\n      keywords: ['demo', 'trial', 'test', 'try it', 'see it in action', 'show me', 'walk through'],\n      score: 25,\n      label: '🖥️ Demo Request'\n    },\n    timeline: {\n      keywords: ['when can', 'how soon', 'timeline', 'start date', 'implement by', 'deadline', 'need this by'],\n      score: 20,\n      label: '⏰ Timeline Discussion'\n    },\n    budget: {\n      keywords: ['budget', 'cost', 'pricing', 'investment', 'roi', 'pay', 'afford', 'price point'],\n      score: 15,\n      label: '💰 Budget Discussion'\n    },\n    interest: {\n      keywords: ['interested', 'tell me more', 'sounds good', 'like this', 'impressive', 'exactly what', 'perfect'],\n      score: 15,\n      label: '👍 Positive Interest'\n    },\n    problem_fit: {\n      keywords: ['solve our problem', 'exactly what we need', 'perfect for us', 'this would help', 'addresses our'],\n      score: 20,\n      label: '✅ Strong Problem-Solution Fit'\n    }\n  };\n  \n  // Negative Signal Detection\n  const negativeSignals = {\n    price_objection: {\n      keywords: ['too expensive', 'cant afford', 'over budget', 'too much', 'cheaper option', 'cost too high'],\n      score: -25,\n      label: '💸 Price Objection'\n    },\n    not_interested: {\n      keywords: ['not interested', 'no thanks', 'not for us', 'pass', 'not looking', 'don\\'t need'],\n      score: -30,\n      label: '❌ Not Interested'\n    },\n    timing: {\n      keywords: ['not right now', 'maybe later', 'next year', 'not a priority', 'down the road', 'future'],\n      score: -15,\n      label: '⏸️ Bad Timing'\n    },\n    just_browsing: {\n      keywords: ['just looking', 'researching', 'comparing options', 'early stages', 'exploring', 'window shopping'],\n      score: -10,\n      label: '🔍 Just Browsing'\n    }\n  };\n  \n  // Competitor Detection \n  const competitors = [\n    'competitor', 'alternative', 'other options', 'shopping around',\n    'comparing', 'versus', 'instead of', 'switch from',\n // Competitor Detection - Add your specific competitors here\n   'competitor1', 'competitor2'\n  ];\n  \n  // Deal Size Indicators\n  const dealSizeIndicators = {\n    enterprise: {\n      keywords: ['enterprise', 'company-wide', 'global', 'multiple teams', 'thousand users', 'all departments', 'entire organization'],\n      multiplier: 10,\n      label: '🏢 Enterprise Deal'\n    },\n    mid_market: {\n      keywords: ['department', 'team of', 'hundred users', 'multiple locations', 'division', 'several teams'],\n      multiplier: 5,\n      label: '🏬 Mid-Market Deal'\n    },\n    small_business: {\n      keywords: ['small team', 'few users', 'startup', 'small business', 'just us', 'handful of people'],\n      multiplier: 1,\n      label: '🏪 Small Business Deal'\n    }\n  };\n  \n  // Process message through scoring engine\n  const messageLower = message.message.toLowerCase();\n  \n  // Check buying signals\n  Object.entries(buyingSignals).forEach(([key, signal]) => {\n    if (signal.keywords.some(keyword => messageLower.includes(keyword))) {\n      opportunityScore += signal.score;\n      detectedSignals.push(signal.label);\n    }\n  });\n  \n  // Check negative signals\n  Object.entries(negativeSignals).forEach(([key, signal]) => {\n    if (signal.keywords.some(keyword => messageLower.includes(keyword))) {\n      opportunityScore += signal.score; // Note: score is negative\n      detectedSignals.push(signal.label);\n      alerts.push(`⚠️ Objection Detected: ${signal.label}`);\n    }\n  });\n  \n  // Check for competitors\n  const mentionedCompetitors = competitors.filter(comp => \n    messageLower.includes(comp.toLowerCase())\n  );\n  if (mentionedCompetitors.length > 0) {\n    alerts.push(`🎯 Competitor Mentioned: ${mentionedCompetitors.join(', ')}`);\n    detectedSignals.push('🏁 Competitor Evaluation');\n  }\n  \n  // Estimate deal size\n  let dealSizeEstimate = 'standard';\n  let dealMultiplier = 2;\n  Object.entries(dealSizeIndicators).forEach(([size, indicator]) => {\n    if (indicator.keywords.some(keyword => messageLower.includes(keyword))) {\n      dealSizeEstimate = size;\n      dealMultiplier = indicator.multiplier;\n      detectedSignals.push(indicator.label);\n    }\n  });\n  \n  // Determine lead temperature\n  let leadTemperature = '🧊 Cold';\n  let alertUrgency = 'low';\n  if (opportunityScore >= 70) {\n    leadTemperature = '🔥 Hot';\n    alertUrgency = 'high';\n    alerts.push('🚨 HOT LEAD DETECTED!');\n  } else if (opportunityScore >= 40) {\n    leadTemperature = '🌡️ Warm';\n    alertUrgency = 'medium';\n  } else if (opportunityScore >= 20) {\n    leadTemperature = '😎 Cool';\n    alertUrgency = 'low';\n  }\n  \n  // Extract numbers for deal size estimation - Improved regex\n  const numberMatches = messageLower.match(/\\$?\\d{1,3}(?:,\\d{3})*(?:\\.\\d{2})?[km]?|\\d+[km]/gi);\n  let estimatedValue = null;\n  if (numberMatches && numberMatches.length > 0) {\n    // Convert to standardized number\n    const lastNumber = numberMatches[numberMatches.length - 1];\n    let parsedValue = 0;\n    \n    if (lastNumber.toLowerCase().includes('k')) {\n      parsedValue = parseFloat(lastNumber.replace(/[^0-9.]/g, '')) * 1000;\n    } else if (lastNumber.toLowerCase().includes('m')) {\n      parsedValue = parseFloat(lastNumber.replace(/[^0-9.]/g, '')) * 1000000;\n    } else {\n      parsedValue = parseFloat(lastNumber.replace(/[$,]/g, ''));\n    }\n    \n    // Only set estimatedValue if we got a valid number\n    if (!isNaN(parsedValue) && parsedValue > 0) {\n      estimatedValue = parsedValue * dealMultiplier;\n    }\n  }\n  \n  // Prepare output\n  return [{\n    json: {\n      // Message context\n      callId: callId,\n      userName: userName,\n      timestamp: message.sent_at || new Date().toISOString(),\n      sender: message.sender || 'unknown',\n      message: message.message,\n      \n      // Scoring results\n      opportunityScore: opportunityScore,\n      leadTemperature: leadTemperature,\n      alertUrgency: alertUrgency,\n      \n      // Detected signals\n      detectedSignals: detectedSignals,\n      alerts: alerts,\n      \n      // Competitor intelligence\n      competitorsMentioned: mentionedCompetitors,\n      hasCompetitorMention: mentionedCompetitors.length > 0,\n      \n      // Deal estimation\n      dealSizeCategory: dealSizeEstimate,\n      dealMultiplier: dealMultiplier,\n      estimatedDealValue: estimatedValue,\n      formattedDealValue: estimatedValue ? `$${estimatedValue.toLocaleString()}` : 'Not detected',\n      \n      // Action recommendations\n      recommendedActions: generateRecommendations(opportunityScore, detectedSignals),\n      \n      // Metadata\n      processedAt: new Date().toISOString(),\n      workflowExecution: $execution?.id || 'unknown',\n      \n      // Success indicator\n      success: true,\n      error: null\n    }\n  }];\n  \n} catch (error) {\n  // Return error response\n  return [{\n    json: {\n      success: false,\n      error: error.message,\n      callId: 'error',\n      userName: 'Unknown',\n      timestamp: new Date().toISOString(),\n      opportunityScore: 0,\n      leadTemperature: '❌ Error',\n      alertUrgency: 'high',\n      alerts: [`🚨 Processing Error: ${error.message}`],\n      recommendedActions: ['🔧 Check input data format', '📞 Contact technical support'],\n      processedAt: new Date().toISOString()\n    }\n  }];\n}"
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        "jsCode": "// Process end-of-call summary with final scoring\nconst callData = $input.first().json.body;\nconst messages = callData.messages || [];\n\n// Aggregate scoring across entire conversation\nlet totalScore = 0;\nconst allSignals = new Set();\nconst competitorMentions = new Set();\nlet maxDealValue = 0;\nlet userMessageCount = 0;\n\n// Process each message\nmessages.forEach(msg => {\n  if (msg.sender === 'user') {\n    userMessageCount++;\n    const msgLower = msg.message.toLowerCase();\n    \n    // Check buying signals\n    const buyingKeywords = [\n      { keyword: 'interested', score: 15 },\n      { keyword: 'budget', score: 15 },\n      { keyword: 'timeline', score: 20 },\n      { keyword: 'demo', score: 25 },\n      { keyword: 'trial', score: 25 },\n      { keyword: 'purchase', score: 30 },\n      { keyword: 'implement', score: 30 },\n      { keyword: 'decision maker', score: 25 },\n      { keyword: 'our team', score: 20 }\n    ];\n    \n    buyingKeywords.forEach(item => {\n      if (msgLower.includes(item.keyword)) {\n        totalScore += item.score;\n        allSignals.add(`✅ ${item.keyword}`);\n      }\n    });\n    \n    // Check negative signals\n    const negativeKeywords = [\n      { keyword: 'not interested', score: -30 },\n      { keyword: 'too expensive', score: -25 },\n      { keyword: 'maybe later', score: -15 },\n      { keyword: 'just looking', score: -10 }\n    ];\n    \n    negativeKeywords.forEach(item => {\n      if (msgLower.includes(item.keyword)) {\n        totalScore += item.score;\n        allSignals.add(`❌ ${item.keyword}`);\n      }\n    });\n    \n    // Check competitors\n    const competitors = ['competitor', 'alternative', 'versus', 'comparing'];\n    competitors.forEach(comp => {\n      if (msgLower.includes(comp)) {\n        competitorMentions.add(comp);\n      }\n    });\n  }\n});\n\n// Calculate final metrics\nconst avgMessageScore = userMessageCount > 0 ? totalScore / userMessageCount : 0;\nconst qualificationLevel = \n  totalScore >= 100 ? '🏆 Highly Qualified' :\n  totalScore >= 50 ? '✅ Qualified' :\n  totalScore >= 20 ? '🤔 Needs Nurturing' :\n  '❄️ Not Qualified';\n\nreturn [{\n  json: {\n    callId: callData.call_id,\n    userName: callData.call_data.userName,\n    duration: callData.evaluation?.duration_minutes || 0,\n    totalMessages: messages.length,\n    userMessages: userMessageCount,\n    finalScore: totalScore,\n    averageScore: avgMessageScore.toFixed(1),\n    qualificationLevel: qualificationLevel,\n    uniqueSignals: Array.from(allSignals),\n    competitorsMentioned: Array.from(competitorMentions),\n    callSummary: {\n      topic: callData.evaluation?.topic || 'General Discussion',\n      sentiment: callData.evaluation?.user_sentiment || 'neutral',\n      endTime: callData.call_data.endedAt\n    },\n    recommendations: generateFinalRecommendations(totalScore, allSignals),\n    nextBestAction: totalScore >= 50 ? '📞 Call within 24 hours' : '📧 Add to nurture campaign'\n  }\n}];\n\nfunction generateFinalRecommendations(score, signals) {\n  const recs = [];\n  if (score >= 100) {\n    recs.push('🎯 Fast-track to sales manager');\n    recs.push('📄 Prepare contract immediately');\n    recs.push('💰 Custom pricing proposal needed');\n  } else if (score >= 50) {\n    recs.push('📧 Send personalized follow-up within 2 hours');\n    recs.push('📅 Schedule next meeting this week');\n    recs.push('📊 Prepare ROI calculation');\n  } else {\n    recs.push('🌱 Add to nurture campaign');\n    recs.push('📚 Send educational content');\n    recs.push('⏰ Check back in 30 days');\n  }\n  return recs;\n}"
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      ],
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      "parameters": {
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          "__rl": true,
          "mode": "name",
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        "height": 540,
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              "userName": "Shehroz Sajjad"
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            "cf-ipcountry": "US",
            "content-type": "application/json",
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            "content-length": "277",
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            "x-forwarded-host": "bey-test.app.n8n.cloud",
            "x-forwarded-port": "443",
            "x-forwarded-proto": "https",
            "x-forwarded-server": "traefik-prod-users-gwc-72-585f59b6c7-zdqd9"
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          "webhookUrl": "https://bey-test.app.n8n.cloud/webhook/beyondpresence-sales-intelligence",
          "executionMode": "production"
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    "executionOrder": "v1"
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