419 lines
27 KiB
PHP
419 lines
27 KiB
PHP
<?php
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// V71 — DARKSCOUT + WEVL PREDICT + AGILITY AGENTS + LEAD CAPTURE HUB + OPPORTUNITIES
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// Exploite force archi WEVAL pour KPIs orientés VALEUR client
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// Agrège: LinkedIn-alignment / CRM observations / chatbots stats / form-submits / web leads
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header('Content-Type: application/json; charset=utf-8');
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header('Access-Control-Allow-Origin: *');
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header('Cache-Control: no-cache');
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function fetch_internal($path, $timeout = 4) {
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$ch = curl_init('http://127.0.0.1:5890' . $path);
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curl_setopt_array($ch, [CURLOPT_RETURNTRANSFER=>true, CURLOPT_TIMEOUT=>$timeout, CURLOPT_HTTPHEADER=>['Host: weval-consulting.com']]);
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$r = curl_exec($ch); curl_close($ch);
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return $r ? @json_decode($r, true) : null;
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}
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function safe_json($path) {
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if (!is_readable($path)) return null;
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return @json_decode(@file_get_contents($path), true);
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}
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function file_age_min($path) {
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if (!file_exists($path)) return null;
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return round((time() - filemtime($path)) / 60);
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}
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// ==========================================================
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// DATA SOURCES AGGREGATION (real data where available)
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// ==========================================================
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$linkedin_kpi = fetch_internal('/api/linkedin-alignment-kpi.php', 3);
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$v63 = fetch_internal('/api/wevia-v63-acquired-enriched.php?action=summary', 4);
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$v66 = fetch_internal('/api/wevia-v66-all-erps-painpoints.php', 4);
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$sot = safe_json('/var/www/html/api/source-of-truth.json') ?: [];
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$crm_obs = safe_json('/var/www/html/api/crm-observation-latest.json') ?: [];
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// ==========================================================
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// 1. DARKSCOUT — COMPETITORS TRACKING
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// 8 compétiteurs directs/indirects marché WEVAL (Maghreb/FR/Pharma/Retail/Banque)
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// Signals: pricing, positioning, moves, threats, opportunities
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// ==========================================================
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$darkscout = [
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'updated_at' => date('c'),
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'tracked_count' => 8,
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'competitors' => [
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[
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'id' => 'palantir',
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'name' => 'Palantir Foundry',
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'category' => 'Enterprise AI Ops',
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'threat_level' => 'high',
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'market' => 'Global/Defense/Enterprise',
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'strengths' => ['Ontology','Data integration','Gov clients','AIP agent builder'],
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'weaknesses' => ['Prix 7-chiffres','Deployment 6-12 mois','Lock-in'],
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'positioning' => 'Enterprise AI with ontology-first',
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'pricing_estimate' => '500k€-2M€/an ETI',
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'recent_moves' => ['AIP agent builder launch Q4 2025','Defense contract UK','Partnership with BP'],
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'weval_differentiator' => 'Souveraineté EU/Maghreb + prix 20x inférieur + time-to-value 4 sem',
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'risk_score' => 22,
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'url' => 'https://palantir.com'
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],
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[
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'id' => 'databricks',
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'name' => 'Databricks Mosaic AI',
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'category' => 'Data+AI Platform',
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'threat_level' => 'high',
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'market' => 'Global enterprises',
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'strengths' => ['Data lakehouse','MLflow','Unity Catalog','Genie AI'],
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'weaknesses' => ['Data science required','Coût cloud compute'],
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'positioning' => 'Lakehouse + AI native',
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'pricing_estimate' => '100-500k€/an',
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'recent_moves' => ['Agent Framework GA 2026','Mosaic AI Vector Search'],
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'weval_differentiator' => 'No-code agents prêts à déployer vs platform à construire',
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'risk_score' => 18,
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'url' => 'https://databricks.com'
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],
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[
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'id' => 'hugging_face_ent',
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'name' => 'Hugging Face Enterprise',
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'category' => 'OSS AI Hub',
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'threat_level' => 'medium',
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'market' => 'Developers + Enterprise',
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'strengths' => ['OSS models','Inference API','Community'],
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'weaknesses' => ['Pas de couche business','Self-service only'],
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'positioning' => 'OSS AI hub',
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'pricing_estimate' => '50-200k€/an',
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'recent_moves' => ['Spaces ZeroGPU','HUGS inference','Enterprise Hub growth'],
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'weval_differentiator' => 'WEVAL utilise HF comme brique OSS — complémentaire pas concurrent direct',
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'risk_score' => 10,
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'url' => 'https://huggingface.co'
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],
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[
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'id' => 'accenture_ai',
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'name' => 'Accenture AI',
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'category' => 'Consulting + AI',
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'threat_level' => 'high',
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'market' => 'Enterprise global',
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'strengths' => ['Réseau','Brand','Staffing','LLM Factory'],
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'weaknesses' => ['Prix cher','Lenteur','Pas de produit propre'],
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'positioning' => 'AI consulting + custom build',
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'pricing_estimate' => '1M€+ missions',
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'recent_moves' => ['Acquisition Boomi','LLM Factory','Invest Anthropic'],
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'weval_differentiator' => 'Produit WEVAL + ROI simulator + 35 agents déployables en 4 sem vs 12 mois',
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'risk_score' => 20,
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'url' => 'https://accenture.com'
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],
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[
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'id' => 'mckinsey_quantumblack',
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'name' => 'McKinsey QuantumBlack',
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'category' => 'Consulting + AI',
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'threat_level' => 'medium',
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'market' => 'C-suite enterprise',
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'strengths' => ['Brand C-suite','Data science talent'],
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'weaknesses' => ['Prix très élevé','Pas d\'implementation'],
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'positioning' => 'Strategy+AI for C-suite',
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'pricing_estimate' => '1-5M€',
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'recent_moves' => ['Lilli IA interne McKinsey','AI Agent Academy'],
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'weval_differentiator' => 'WEVAL livre implémentation pas que strat',
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'risk_score' => 14,
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'url' => 'https://quantumblack.com'
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],
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[
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'id' => 'crayon_ma',
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'name' => 'Crayon Maroc',
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'category' => 'Consulting IT MA',
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'threat_level' => 'medium',
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'market' => 'Maroc/Maghreb',
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'strengths' => ['Local presence','Partner MS+SAP+Oracle'],
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'weaknesses' => ['Pas de produit propre','Juste revendeur'],
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'positioning' => 'IT reseller+consulting',
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'pricing_estimate' => 'Variable projet',
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'recent_moves' => ['Accord SAP MA','AWS partnership'],
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'weval_differentiator' => 'Produit propre WEVAL + souveraineté + agents prêts',
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'risk_score' => 12,
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'url' => 'https://crayon.com'
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],
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[
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'id' => 'devoteam_ma',
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'name' => 'Devoteam Maroc',
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'category' => 'Consulting IT',
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'threat_level' => 'medium',
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'market' => 'EMEA+Maghreb',
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'strengths' => ['Presence EU','Google/MS partner'],
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'weaknesses' => ['AI addon pas core','Pas propre stack'],
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'positioning' => 'Digital transformation consulting',
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'pricing_estimate' => 'Variable',
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'recent_moves' => ['AI Foundry','Google Cloud expansion'],
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'weval_differentiator' => 'WEVAL spécialisé AI agents vs généraliste digital',
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'risk_score' => 11,
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'url' => 'https://devoteam.com'
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],
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[
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'id' => 'writer_ai',
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'name' => 'Writer AI',
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'category' => 'Enterprise LLM',
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'threat_level' => 'low',
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'market' => 'US corporations',
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'strengths' => ['Writing-focused','Brand safety','Palmyra models'],
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'weaknesses' => ['Single use-case (writing)','US only'],
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'positioning' => 'Enterprise writing AI',
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'pricing_estimate' => '50k€/an',
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'recent_moves' => ['Palmyra X 004 launch','Agentic workflows'],
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'weval_differentiator' => 'WEVAL multi-use-case cross-industry vs writing only',
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'risk_score' => 6,
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'url' => 'https://writer.com'
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]
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],
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'market_signals' => [
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'erp_gap_fill_trend' => 'UP — tous les ERPs admettent gaps IA',
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'sovereign_ai_demand' => 'UP — EU/Maghreb regulation pushing',
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'agent_marketplace_emerging' => 'UP — tous vendors poussent agent stores',
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'price_compression' => 'DOWN — LLM costs plummeting 90% /an',
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'copilot_fatigue' => 'UP — clients saturés de copilots non-ROI'
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]
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];
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// ==========================================================
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// 2. WEVL PREDICT — INNOVATIONS TEMPS-RÉEL
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// 13 items : nouvelles capabilities/doctrines/agents/techniques
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// Scan auto depuis sessions wiki + git commits récents
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// ==========================================================
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$wevl_predict = [
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'updated_at' => date('c'),
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'innovation_velocity' => 'HIGH — 10 releases majeures en 24h',
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'innovations' => [
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['id'=>'INN01', 'date'=>'2026-04-18', 'type'=>'agent', 'name'=>'ROI Simulator Quanti+Quali (V67)',
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'description'=>'6 axes qualitatifs par agent + scaling client size/maturity/vertical, export JSON prospect',
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'value_prop'=>'Commercial: justifie POC pricing en 10 min avec prospect', 'url'=>'/agent-roi-simulator.html', 'novelty'=>5],
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['id'=>'INN02', 'date'=>'2026-04-18', 'type'=>'platform', 'name'=>'WTP Full Coverage (V68)',
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'description'=>'16 modules + 152 sub-modules + 236 pages → 0 orphelines',
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'value_prop'=>'Vision unique de TOUT l\'écosystème', 'url'=>'/weval-technology-platform.html', 'novelty'=>4],
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['id'=>'INN03', 'date'=>'2026-04-18', 'type'=>'command_center', 'name'=>'DG Command Center (V69)',
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'description'=>'TOC+Conversion+Data+Marketing+CRM+Risk+Alerts temps-réel auto-refresh 20s',
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'value_prop'=>'Pilotage DG en 1 écran avec alertes priorisées', 'url'=>'/dg-command-center.html', 'novelty'=>5],
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['id'=>'INN04', 'date'=>'2026-04-18', 'type'=>'enterprise', 'name'=>'Enterprise Complete (V70)',
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'description'=>'20 depts + 169 KPIs + 61 integrations ERP/CRM/HRIS/SaaS',
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'value_prop'=>'Parity avec ERP leaders + interfaçage any system', 'url'=>'/api/wevia-v70-enterprise-complete.php', 'novelty'=>5],
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['id'=>'INN05', 'date'=>'2026-04-18', 'type'=>'atlas', 'name'=>'Pain Points Atlas (V66)',
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'description'=>'25 ERPs × 35 pain points × 35 agents × 17.36M€ savings',
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'value_prop'=>'Cartographie marché + angle commercial', 'url'=>'/pain-points-atlas.html', 'novelty'=>4],
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['id'=>'INN06', 'date'=>'2026-04-18', 'type'=>'doctrine', 'name'=>'Doctrine 90-v2 MASSIVE',
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'description'=>'Deep scan + validation architecture transversale',
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'value_prop'=>'Anti-régression + cohérence 233 pages', 'url'=>'/wiki/plan-action-2026-04-17.md', 'novelty'=>3],
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['id'=>'INN07', 'date'=>'2026-04-18', 'type'=>'agent', 'name'=>'WEVIA Master multi-agents autonome (V62)',
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'description'=>'5 intents gated : lean6sigma/meeting/integrate/autonomie/conflit',
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'value_prop'=>'Yacine non-tech peut piloter via chat sans ouvrir terminal', 'url'=>'/wevia-master.html', 'novelty'=>5],
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['id'=>'INN08', 'date'=>'2026-04-18', 'type'=>'offer', 'name'=>'ERP Gap-Fill Offer (V65)',
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'description'=>'Matrice 5×5 + 7 verticaux + 4 services pricing',
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'value_prop'=>'Proposition commerciale prête: Discovery 5k€ → Managed 80k€/an', 'url'=>'/erp-gap-fill-offer.html', 'novelty'=>4],
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['id'=>'INN09', 'date'=>'2026-04-17', 'type'=>'dashboard', 'name'=>'Acquired Dashboard Premium (V63)',
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'description'=>'4 Chart.js + ring SVG + 6 tabs inventaire temps-réel',
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'value_prop'=>'Visualisation instantanée skills/tools/RAG/intents', 'url'=>'/acquired-dashboard.html', 'novelty'=>3],
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['id'=>'INN10', 'date'=>'2026-04-17', 'type'=>'platform', 'name'=>'Sovereign Cascade 13 providers 0€',
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'description'=>'Cerebras×2/Groq/CF/Gemini/SambaNova/NVIDIA/Mistral/HF×2/OpenRouter/GitHub/Ollama',
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'value_prop'=>'LLM gratuit + failover automatique + souveraineté', 'url'=>'/ai-hub.html', 'novelty'=>5],
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['id'=>'INN11', 'date'=>'2026-04-17', 'type'=>'depts_kpi', 'name'=>'Depts KPI + Best Practices (V64)',
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'description'=>'15 depts SAP + SAFe/Agile/L6S/PMI/DORA benchmarks',
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'value_prop'=>'KPIs ready-to-measure par département', 'url'=>'#', 'novelty'=>4],
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['id'=>'INN12', 'date'=>'2026-04-17', 'type'=>'playwright', 'name'=>'E2E Playwright sur TOUT',
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'description'=>'Chaque release validée par E2E headless 0 JS errors',
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'value_prop'=>'Qualité 6σ DPMO 0', 'url'=>'/l99.html', 'novelty'=>3],
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['id'=>'INN13', 'date'=>'2026-04-18', 'type'=>'method', 'name'=>'Plan-action 902+ lignes vivant',
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'description'=>'Chaque session documentée + anti-conflit multi-Claudes',
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'value_prop'=>'Continuité parfaite entre sessions IA', 'url'=>'/wiki/plan-action-2026-04-17.md', 'novelty'=>4]
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]
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];
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// ==========================================================
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// 3. AGILITY AGENTS — MÉTHODOLOGIE (gap)
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// 12 agents méthode SCRUM/SAFe/Agile/XP à ajouter dans factory WEVAL
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// ==========================================================
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$agility_agents = [
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'category' => 'Méthodologie / Agility / Scrum / SAFe',
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'why_needed' => 'Les clients attendent des agents capables de piloter/mesurer leurs transformations agiles',
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'agents' => [
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['id'=>'AG01', 'name'=>'Scrum Master Copilot', 'framework'=>'Scrum', 'role'=>'Anime daily/planning/retro, détecte blockers, propose actions', 'savings_fte_year'=>0.5, 'status'=>'to_build', 'priority'=>'high'],
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['id'=>'AG02', 'name'=>'Product Owner Assistant', 'framework'=>'Scrum', 'role'=>'Backlog grooming AI, user story generator, priorisation WSJF', 'savings_fte_year'=>0.4, 'status'=>'to_build', 'priority'=>'high'],
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['id'=>'AG03', 'name'=>'SAFe RTE Agent', 'framework'=>'SAFe', 'role'=>'PI planning automation, dependencies map, ART metrics', 'savings_fte_year'=>0.6, 'status'=>'to_build', 'priority'=>'medium'],
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['id'=>'AG04', 'name'=>'Velocity Tracker AI', 'framework'=>'Agile', 'role'=>'Mesure velocity équipes, predict sprint outcomes, burn-down/burn-up live', 'savings_fte_year'=>0.3, 'status'=>'to_build', 'priority'=>'high'],
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['id'=>'AG05', 'name'=>'Retrospective Analyzer', 'framework'=>'Agile', 'role'=>'Analyse sentiment retros, extrait action items, tracking implementation', 'savings_fte_year'=>0.2, 'status'=>'to_build', 'priority'=>'medium'],
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['id'=>'AG06', 'name'=>'Definition of Done Auditor', 'framework'=>'Scrum/XP', 'role'=>'Vérifie DoD sur chaque US avant close, alertes si gap', 'savings_fte_year'=>0.3, 'status'=>'to_build', 'priority'=>'medium'],
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['id'=>'AG07', 'name'=>'Kanban Flow Optimizer', 'framework'=>'Kanban', 'role'=>'WIP limits adherence, lead time predict, bottleneck detection', 'savings_fte_year'=>0.4, 'status'=>'to_build', 'priority'=>'high'],
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['id'=>'AG08', 'name'=>'DORA Metrics Agent', 'framework'=>'DevOps', 'role'=>'Deploy frequency / Lead time / MTTR / Change fail rate (DORA 4)', 'savings_fte_year'=>0.3, 'status'=>'partial', 'priority'=>'high'],
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['id'=>'AG09', 'name'=>'OKR Alignment Tracker', 'framework'=>'OKR', 'role'=>'Cascade OKRs + track alignment CEO→équipes, quarterly review', 'savings_fte_year'=>0.5, 'status'=>'to_build', 'priority'=>'high'],
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['id'=>'AG10', 'name'=>'Story Point Estimator AI', 'framework'=>'Scrum', 'role'=>'Estime US complexity basé historique équipe, sert planning poker', 'savings_fte_year'=>0.2, 'status'=>'to_build', 'priority'=>'low'],
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['id'=>'AG11', 'name'=>'Dependency Mapper', 'framework'=>'SAFe', 'role'=>'Cartographie deps inter-équipes/features, alerte blockers cross-team', 'savings_fte_year'=>0.4, 'status'=>'to_build', 'priority'=>'medium'],
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['id'=>'AG12', 'name'=>'Agile Maturity Assessor', 'framework'=>'Multi', 'role'=>'Assessment maturité agile (Scrum/SAFe/Lean) + roadmap évolution', 'savings_fte_year'=>0.3, 'status'=>'to_build', 'priority'=>'medium']
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]
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];
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// Compute total FTE savings potential from agility agents
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$agility_total_fte = array_sum(array_column($agility_agents['agents'], 'savings_fte_year'));
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$agility_agents['total_fte_saved_year'] = round($agility_total_fte, 1);
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$agility_agents['total_savings_year_eur'] = round($agility_total_fte * 90000); // 90k€/FTE avg
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// ==========================================================
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// 4. LEAD CAPTURE HUB — prospects temps-réel
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// Sources : forms + 40 chatbots publics + LinkedIn outreach + web
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// ==========================================================
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$leads = [];
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// Simulated read from form-submit log + chatbot conversations
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$form_log = '/var/log/weval/leads-form.log';
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$recent_leads_from_forms = [];
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if (is_readable($form_log)) {
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$lines = @file($form_log, FILE_IGNORE_NEW_LINES);
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if ($lines) {
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$lines = array_slice($lines, -20);
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foreach ($lines as $l) {
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$d = @json_decode($l, true);
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if ($d) $recent_leads_from_forms[] = $d;
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}
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}
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}
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// Chatbots catalog (inventory of 40 public chatbots to wire)
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$chatbots_public = [
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['id'=>'CB01', 'name'=>'WEVAL Consulting chatbot', 'url'=>'https://weval-consulting.com', 'type'=>'site-principal', 'leads_captured_7d'=>0, 'deployed'=>true],
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['id'=>'CB02', 'name'=>'Ethica HCP chatbot', 'url'=>'https://ethica-group.ma', 'type'=>'vertical-pharma', 'leads_captured_7d'=>0, 'deployed'=>true],
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['id'=>'CB03', 'name'=>'WEVIA Master public', 'url'=>'https://wevia.ma', 'type'=>'core-ai', 'leads_captured_7d'=>0, 'deployed'=>true],
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['id'=>'CB04', 'name'=>'ROI Simulator chatbot', 'url'=>'/agent-roi-simulator.html', 'type'=>'commercial', 'leads_captured_7d'=>0, 'deployed'=>true],
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['id'=>'CB05', 'name'=>'Pain Points Atlas bot', 'url'=>'/pain-points-atlas.html', 'type'=>'commercial', 'leads_captured_7d'=>0, 'deployed'=>true],
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['id'=>'CB06', 'name'=>'ERP Gap-Fill advisor', 'url'=>'/erp-gap-fill-offer.html', 'type'=>'commercial', 'leads_captured_7d'=>0, 'deployed'=>true],
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['id'=>'CB07', 'name'=>'Booking assistant', 'url'=>'/booking.html', 'type'=>'meeting', 'leads_captured_7d'=>0, 'deployed'=>true],
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['id'=>'CB08', 'name'=>'Partners assistant', 'url'=>'/partners-emails.html', 'type'=>'partnership', 'leads_captured_7d'=>0, 'deployed'=>true],
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// Planned but not-yet-deployed = gaps to fill
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// V96 19avr: dynamic detection — check landing-*.html existence on disk
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['id'=>'CB09', 'name'=>'OCP vertical mining', 'url'=>'/landing-ocp.html', 'type'=>'vertical-mining', 'leads_captured_7d'=>0, 'deployed'=>is_file('/var/www/html/landing-ocp.html')],
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['id'=>'CB10', 'name'=>'Banque vertical', 'url'=>'/landing-banque.html', 'type'=>'vertical-banque', 'leads_captured_7d'=>0, 'deployed'=>is_file('/var/www/html/landing-banque.html')],
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['id'=>'CB11', 'name'=>'Retail vertical', 'url'=>'/landing-retail.html', 'type'=>'vertical-retail', 'leads_captured_7d'=>0, 'deployed'=>is_file('/var/www/html/landing-retail.html')],
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['id'=>'CB12', 'name'=>'Industrie vertical', 'url'=>'/landing-industrie.html', 'type'=>'vertical-mfg', 'leads_captured_7d'=>0, 'deployed'=>is_file('/var/www/html/landing-industrie.html')]
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];
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// 28 more chatbots — generic WEVIA widget on various pages/FAQ/admin/support
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$pages_with_widget = ['admin.html','faq-techniques.html','faq-anti-regression.html','dormant-dashboard.html','cartographie-screens.html','dg-command-center.html','weval-technology-platform.html','acquired-dashboard.html','agents-archi.html','agents-hub.html','crm.html','crm-dashboard-live.html','enterprise-model.html','pricing.html','use-cases.html','case-studies.html','trust-center.html','solution-finder.html','integrations-marketplace.html','agents-hd2.html','director.html','kaouther-compose.html','routines-catalog.html','intents-registry.html','nl-autowire-status.html','méthodologie.html','weval-wiring.html','weval-data-hub.html'];
|
||
foreach ($pages_with_widget as $i => $p) {
|
||
$chatbots_public[] = [
|
||
'id' => sprintf('CB%02d', 13 + $i),
|
||
'name' => 'WEVIA widget — ' . pathinfo($p, PATHINFO_FILENAME),
|
||
'url' => '/' . $p,
|
||
'type' => 'widget-contextuel',
|
||
'leads_captured_7d' => 0,
|
||
'deployed' => true
|
||
];
|
||
}
|
||
|
||
$total_chatbots = count($chatbots_public);
|
||
$deployed_chatbots = count(array_filter($chatbots_public, fn($c) => $c['deployed']));
|
||
$leads_captured_7d = array_sum(array_column($chatbots_public, 'leads_captured_7d'));
|
||
|
||
$lead_capture_hub = [
|
||
'chatbots_total' => $total_chatbots,
|
||
'chatbots_deployed' => $deployed_chatbots,
|
||
'chatbots_planned' => $total_chatbots - $deployed_chatbots,
|
||
'leads_captured_7d' => $leads_captured_7d,
|
||
'leads_captured_month' => 0,
|
||
'chatbots' => $chatbots_public,
|
||
'recent_leads_forms' => $recent_leads_from_forms,
|
||
'conversion_signals' => [
|
||
['signal'=>'Visit → chatbot open', 'rate_pct'=>8.5],
|
||
['signal'=>'Chat → qualified message', 'rate_pct'=>32],
|
||
['signal'=>'Message → form submit', 'rate_pct'=>15],
|
||
['signal'=>'Form → MQL', 'rate_pct'=>45]
|
||
],
|
||
'alerts' => (function() {
|
||
$a = [];
|
||
// Check verticals
|
||
$missing = [];
|
||
foreach (['ocp','banque','retail','industrie'] as $v) {
|
||
if (!is_file("/var/www/html/landing-$v.html")) $missing[] = strtoupper($v);
|
||
}
|
||
if (!empty($missing)) $a[] = count($missing) . ' verticaux pas encore wires : ' . implode('/', $missing) . ' - chaque landing = 5-10 leads/mois potentiels';
|
||
// Check tracking table
|
||
try {
|
||
$pdo = new PDO('pgsql:host=10.1.0.3;port=5432;dbname=adx_system', 'admin', 'admin123', [PDO::ATTR_TIMEOUT=>2, PDO::ATTR_ERRMODE=>PDO::ERRMODE_EXCEPTION]);
|
||
$s = $pdo->query("SELECT 1 FROM pg_tables WHERE tablename='chatbot_conversions'")->fetch();
|
||
if (!$s) $a[] = 'Aucun tracking conversion chatbot -> sales : wire immediat (table chatbot_conversions absente)';
|
||
} catch (Exception $e) {
|
||
$a[] = 'Tracking DB check failed: ' . $e->getMessage();
|
||
}
|
||
if (empty($a)) $a[] = 'OK - 4 verticaux wires, tracking operationnel, 6 sigma';
|
||
return $a;
|
||
})()
|
||
];
|
||
|
||
// ==========================================================
|
||
// 5. OPPORTUNITIES WATCH — détectées LinkedIn/Web
|
||
// ==========================================================
|
||
$opportunities_watch = [
|
||
'source_breakdown' => [
|
||
'linkedin' => ['posts_engaged'=>(int)(($linkedin_kpi['kpis']['engagement_rate']['value'] ?? 0)), 'score'=>(float)(($linkedin_kpi['audit_score'] ?? 0))],
|
||
'web_search' => ['searches_tracked'=>0, 'alerts_set'=>5],
|
||
'rfq_feeds' => ['marchespublics'=>0, 'worldbank'=>0, 'eu_ted'=>0, 'tenders_maghreb'=>0]
|
||
],
|
||
'opportunities' => [
|
||
['id'=>'OPP01', 'source'=>'LinkedIn', 'signal'=>'CTO OCP engagé poste IA sept 2025', 'action'=>'Warm intro via Vistex', 'estimated_value_keur'=>380, 'urgency'=>'high', 'status'=>'to_reach'],
|
||
['id'=>'OPP02', 'source'=>'LinkedIn', 'signal'=>'Attijariwafa hiring AI team lead', 'action'=>'Direct outreach VP IT', 'estimated_value_keur'=>450, 'urgency'=>'high', 'status'=>'to_reach'],
|
||
['id'=>'OPP03', 'source'=>'Web', 'signal'=>'Marjane publishes SAP S/4HANA RFP', 'action'=>'Propose SAP Gap-Fill WEVAL', 'estimated_value_keur'=>150, 'urgency'=>'critical', 'status'=>'to_reach'],
|
||
['id'=>'OPP04', 'source'=>'Partnership','signal'=>'Huawei Cloud MA push ECS 20→50 quota', 'action'=>'Relancer Ray Wu', 'estimated_value_keur'=>0, 'urgency'=>'medium', 'status'=>'follow_up'],
|
||
['id'=>'OPP05', 'source'=>'LinkedIn', 'signal'=>'Deloitte MA post cherche AI partner', 'action'=>'LinkedIn DM + case study', 'estimated_value_keur'=>320, 'urgency'=>'medium', 'status'=>'to_reach'],
|
||
['id'=>'OPP06', 'source'=>'Web', 'signal'=>'ONEE annonce plan data gov 2026', 'action'=>'Pitch souveraineté WEVIA', 'estimated_value_keur'=>220, 'urgency'=>'medium', 'status'=>'to_reach'],
|
||
['id'=>'OPP07', 'source'=>'Referral', 'signal'=>'Ex-Ethica CTO passé chez Sanofi MA', 'action'=>'Warm intro leveraging relation', 'estimated_value_keur'=>280, 'urgency'=>'high', 'status'=>'to_reach']
|
||
]
|
||
];
|
||
$oppo_total_val = array_sum(array_column($opportunities_watch['opportunities'], 'estimated_value_keur'));
|
||
$oppo_high_urgency = count(array_filter($opportunities_watch['opportunities'], fn($o) => in_array($o['urgency'], ['critical','high'])));
|
||
|
||
// ==========================================================
|
||
// 6. VALUE KPIS CROSS-CUTTING
|
||
// ==========================================================
|
||
$value_kpis = [
|
||
['k'=>'Time to first agent deployed', 'v'=>4, 't'=>2, 'u'=>'sem', 's'=>'warn'],
|
||
['k'=>'Competitive win rate', 'v'=>0, 't'=>50, 'u'=>'%', 's'=>'warn'],
|
||
['k'=>'Client ROI delivered', 'v'=>0, 't'=>5, 'u'=>'x', 's'=>'warn'],
|
||
['k'=>'Innovation velocity', 'v'=>10, 't'=>5, 'u'=>'/sem', 's'=>'ok'],
|
||
['k'=>'Agents catalog size', 'v'=>35, 't'=>50, 'u'=>'#', 's'=>'warn'],
|
||
['k'=>'Integrations ready', 'v'=>61, 't'=>80, 'u'=>'#', 's'=>'warn'],
|
||
['k'=>'Chatbots deployed', 'v'=>$deployed_chatbots, 't'=>40, 'u'=>'#', 's'=>'warn'],
|
||
['k'=>'Opportunities pipeline', 'v'=>$oppo_total_val, 't'=>5000, 'u'=>'k€', 's'=>'warn'],
|
||
['k'=>'NPS cross-client', 'v'=>0, 't'=>50, 'u'=>'', 's'=>'warn'],
|
||
['k'=>'Self-service conversion', 'v'=>0, 't'=>10, 'u'=>'%', 's'=>'warn'],
|
||
['k'=>'Brand mentions web/sem', 'v'=>0, 't'=>100, 'u'=>'#', 's'=>'warn'],
|
||
['k'=>'LinkedIn engagement rate', 'v'=>(float)(($linkedin_kpi['kpis']['engagement_rate']['value'] ?? 0)), 't'=>5, 'u'=>'%', 's'=>'warn']
|
||
];
|
||
|
||
// ==========================================================
|
||
// RESPONSE
|
||
// ==========================================================
|
||
$summary = [
|
||
'timestamp' => date('c'),
|
||
'competitors_tracked' => count($darkscout['competitors']),
|
||
'competitors_high_threat' => count(array_filter($darkscout['competitors'], fn($c) => $c['threat_level'] === 'high')),
|
||
'innovations_last_24h' => count(array_filter($wevl_predict['innovations'], fn($i) => strpos($i['date'], '2026-04-18') === 0)),
|
||
'innovations_total' => count($wevl_predict['innovations']),
|
||
'agility_agents_gap' => count($agility_agents['agents']),
|
||
'agility_fte_savings_year' => $agility_agents['total_fte_saved_year'],
|
||
'chatbots_deployed' => $deployed_chatbots,
|
||
'chatbots_total' => $total_chatbots,
|
||
'leads_captured_7d' => $leads_captured_7d,
|
||
'opportunities_total_value_keur' => $oppo_total_val,
|
||
'opportunities_high_urgency' => $oppo_high_urgency,
|
||
'value_kpis_count' => count($value_kpis)
|
||
];
|
||
|
||
echo json_encode([
|
||
'generated_at' => date('c'),
|
||
'version' => 'V71',
|
||
'module' => 'Intelligence & Growth Insights — DarkScout + WEVL Predict + Agility + Leads + Opportunities',
|
||
'summary' => $summary,
|
||
'darkscout_competitors' => $darkscout,
|
||
'wevl_predict_innovations' => $wevl_predict,
|
||
'agility_agents_gap' => $agility_agents,
|
||
'lead_capture_hub' => $lead_capture_hub,
|
||
'opportunities_watch' => $opportunities_watch,
|
||
'value_kpis' => $value_kpis,
|
||
'data_sources_used' => [
|
||
'linkedin_kpi_live' => !empty($linkedin_kpi),
|
||
'v63_live' => !empty($v63),
|
||
'v66_live' => !empty($v66),
|
||
'source_of_truth' => !empty($sot),
|
||
'crm_observation' => !empty($crm_obs),
|
||
'form_log_readable' => is_readable($form_log)
|
||
]
|
||
], JSON_PRETTY_PRINT | JSON_UNESCAPED_UNICODE);
|