{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_happyrobot","slug":"happyrobot","name":"HAPPYROBOT","type":"product","url":"https://www.happyrobot.ai","page_url":"https://unfragile.ai/happyrobot","categories":["chatbots-assistants"],"tags":[],"pricing":{"model":"paid","free":false,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_happyrobot__cap_0","uri":"capability://customer.support.automated.shipment.status.response.generation","name":"automated-shipment-status-response-generation","description":"Automatically generates and sends shipment status updates to customers across multiple channels without human intervention. Pulls real-time carrier data to provide accurate delivery windows, current location, and estimated arrival times.","intents":["I need to respond to customer tracking inquiries without manual effort","I want to provide real-time delivery status updates automatically","I need to reduce the volume of repetitive status check emails and messages"],"best_for":["mid-to-large logistics companies","freight forwarding operations","support teams handling 500+ daily inquiries"],"limitations":["requires integration with major carrier networks","limited support for niche or regional carriers","accuracy depends on carrier data availability"],"requires":["carrier API integrations","customer contact information","shipment tracking data","initial workflow configuration"],"input_types":["customer inquiry (text/SMS/email/chat)","shipment tracking number","carrier data feed"],"output_types":["SMS message","email response","chat message","structured status update"],"categories":["customer-support","logistics","automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_happyrobot__cap_1","uri":"capability://customer.support.intelligent.inquiry.routing.and.classification","name":"intelligent-inquiry-routing-and-classification","description":"Analyzes incoming customer inquiries and automatically routes them to appropriate handlers or AI response systems based on inquiry type, urgency, and complexity. Classifies requests as routine (auto-respond) or exception cases (escalate to human).","intents":["I want to automatically sort inquiries so simple ones are handled by AI and complex ones go to humans","I need to reduce the time inquiries spend in the queue before being addressed","I want to ensure urgent or exception cases reach the right team member immediately"],"best_for":["logistics coordinators managing high-volume inquiry queues","support teams with mixed skill levels","operations seeking to optimize human resource allocation"],"limitations":["requires training data to accurately classify edge cases","may misclassify novel or ambiguous inquiry types","steep learning curve for non-technical staff to configure routing rules"],"requires":["historical inquiry data for training","defined routing rules and escalation criteria","integration with support ticketing system","prompt engineering and workflow mapping"],"input_types":["customer inquiry (text/SMS/email/chat)","customer metadata","shipment information"],"output_types":["routing decision (auto-respond vs. escalate)","assigned queue or handler","priority level","classification tags"],"categories":["customer-support","workflow-automation","logistics"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_happyrobot__cap_10","uri":"capability://analytics.performance.analytics.and.automation.metrics.reporting","name":"performance-analytics-and-automation-metrics-reporting","description":"Tracks and reports on AI automation performance metrics including inquiry volume handled, automation rate, response accuracy, and cost savings. Provides dashboards and reports for logistics operations management.","intents":["I want to see how much manual work the AI is actually saving us","I need to report ROI on the AI investment to leadership","I want to identify bottlenecks and areas for improvement in our automation"],"best_for":["logistics operations managers","finance teams evaluating AI ROI","companies seeking data-driven optimization"],"limitations":["metrics may not capture all value (e.g., improved customer satisfaction)","requires sufficient historical data for meaningful trends","cost savings calculations depend on accurate labor cost data"],"requires":["analytics infrastructure","historical inquiry and response data","labor cost information","dashboard/reporting tools"],"input_types":["inquiry volume data","response metrics","human handling time","labor costs","customer satisfaction scores"],"output_types":["automation rate percentage","cost savings report","performance dashboard","trend analysis","ROI calculation"],"categories":["analytics","reporting","business-intelligence"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_happyrobot__cap_11","uri":"capability://customer.support.customer.context.and.history.retrieval","name":"customer-context-and-history-retrieval","description":"Retrieves and provides AI responses with relevant customer history, previous inquiries, shipment records, and account information. Enables contextually aware responses that reference past interactions.","intents":["I want the AI to remember what we've told this customer before","I need responses that reference the customer's shipping history","I want to avoid asking customers to repeat information they've already provided"],"best_for":["logistics companies with repeat customers","operations seeking to improve customer experience","freight forwarding services with long-term client relationships"],"limitations":["requires comprehensive customer database","privacy regulations may limit what history can be used","irrelevant history may confuse AI responses","data retrieval latency may slow response generation"],"requires":["customer database with complete history","CRM or shipment management system integration","data retrieval API","privacy compliance measures"],"input_types":["customer identifier","inquiry text","shipment number"],"output_types":["customer profile","previous inquiries","shipment history","account notes","contextual information"],"categories":["customer-support","data-retrieval","personalization"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_happyrobot__cap_2","uri":"capability://customer.support.multi.channel.inquiry.aggregation.and.deployment","name":"multi-channel-inquiry-aggregation-and-deployment","description":"Consolidates customer inquiries from multiple communication channels (SMS, email, chat, web forms) into a unified system and deploys AI-generated responses back across the same channels. Eliminates platform fragmentation for logistics operators.","intents":["I want to manage customer communications from one place instead of checking multiple platforms","I need to respond to customers on their preferred channel automatically","I want to ensure consistent messaging across SMS, email, and chat"],"best_for":["logistics companies using multiple communication platforms","support teams seeking operational consolidation","organizations wanting to reduce tool switching overhead"],"limitations":["requires integration setup for each channel","channel-specific formatting constraints may limit response customization","delivery reliability depends on third-party channel APIs"],"requires":["API credentials for SMS, email, and chat providers","channel-specific configuration and templates","unified customer contact database","message queue infrastructure"],"input_types":["SMS message","email","chat message","web form submission"],"output_types":["SMS response","email response","chat message","web notification"],"categories":["customer-support","communication","logistics"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_happyrobot__cap_3","uri":"capability://customer.support.exception.case.detection.and.escalation","name":"exception-case-detection-and-escalation","description":"Identifies non-routine logistics scenarios (delays, lost shipments, damaged goods, delivery exceptions) and automatically escalates them to human agents with contextual information. Prevents AI from responding inappropriately to complex or sensitive situations.","intents":["I need to catch delivery problems before customers get frustrated","I want to ensure exception cases are handled by experienced staff, not AI","I need to flag unusual patterns that might indicate systemic issues"],"best_for":["logistics companies prioritizing customer satisfaction","operations with complex supply chains prone to exceptions","teams wanting to maintain human oversight of critical issues"],"limitations":["requires training on historical exception data","may miss novel exception types not seen in training data","false positives can lead to unnecessary escalations"],"requires":["carrier exception data feeds","historical exception case examples","defined escalation rules and thresholds","human agent availability for escalations"],"input_types":["shipment status data","customer inquiry text","carrier alerts","delivery attempt records"],"output_types":["escalation flag","assigned agent","priority level","contextual case summary"],"categories":["customer-support","exception-handling","logistics"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_happyrobot__cap_4","uri":"capability://data.integration.real.time.carrier.data.integration","name":"real-time-carrier-data-integration","description":"Continuously pulls and syncs real-time tracking, delivery window, and shipment status data from major carrier networks. Ensures AI responses are based on current information rather than stale data.","intents":["I want to give customers accurate delivery windows, not outdated estimates","I need to know immediately when a shipment is delayed or at risk","I want to reduce customer frustration from receiving incorrect status information"],"best_for":["logistics companies with major carrier relationships","operations requiring high accuracy in status communications","freight forwarding services with time-sensitive shipments"],"limitations":["only works with integrated carriers (limited for niche/regional carriers)","data latency depends on carrier API update frequency","requires ongoing maintenance of carrier integrations"],"requires":["carrier API access and credentials","shipment tracking numbers","data synchronization infrastructure","error handling for API failures"],"input_types":["tracking number","carrier identifier","shipment metadata"],"output_types":["current location","delivery window","status code","exception alerts","estimated arrival time"],"categories":["data-integration","logistics","real-time-systems"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_happyrobot__cap_5","uri":"capability://analytics.customer.satisfaction.scoring.and.feedback.collection","name":"customer-satisfaction-scoring-and-feedback-collection","description":"Automatically collects customer feedback on AI-generated responses and support interactions, measures satisfaction metrics, and identifies areas for improvement. Tracks satisfaction score improvements from automation.","intents":["I want to measure if our AI responses are actually improving customer satisfaction","I need to identify which types of inquiries the AI handles well vs. poorly","I want to collect feedback without adding friction to the customer experience"],"best_for":["logistics companies focused on customer experience metrics","operations seeking data-driven optimization","teams wanting to justify AI investment with measurable outcomes"],"limitations":["feedback collection adds slight friction to customer interactions","satisfaction scores may not correlate directly with business outcomes","requires sufficient response volume for statistical significance"],"requires":["feedback collection mechanism (surveys, ratings, etc.)","analytics infrastructure","baseline satisfaction metrics for comparison","minimum inquiry volume for meaningful data"],"input_types":["customer satisfaction rating","feedback text","interaction metadata","resolution outcome"],"output_types":["satisfaction score","trend analysis","performance report","improvement recommendations"],"categories":["analytics","customer-support","quality-assurance"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_happyrobot__cap_6","uri":"capability://configuration.prompt.engineering.and.response.customization","name":"prompt-engineering-and-response-customization","description":"Provides tools for logistics teams to customize AI response templates, tone, and behavior through prompt engineering without requiring coding skills. Allows configuration of response rules for different customer segments or shipment types.","intents":["I want to make AI responses sound more like our brand voice","I need different response templates for VIP customers vs. standard customers","I want to adjust how the AI handles specific scenarios without hiring a developer"],"best_for":["logistics coordinators with domain expertise but no coding background","companies wanting to maintain brand consistency","operations with diverse customer segments requiring different messaging"],"limitations":["steep learning curve for non-technical staff","limited to prompt-level customization (not code-level)","requires dedicated resources for ongoing prompt optimization","changes may have unintended side effects on other response types"],"requires":["user interface for prompt editing","documentation and training materials","testing environment for prompt changes","dedicated staff time for configuration"],"input_types":["natural language prompt instructions","response templates","rule definitions","customer segment criteria"],"output_types":["customized AI behavior","response templates","routing rules","configuration profiles"],"categories":["configuration","customization","automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_happyrobot__cap_7","uri":"capability://workflow.automation.workflow.mapping.and.automation.configuration","name":"workflow-mapping-and-automation-configuration","description":"Enables logistics teams to define and map complex supply chain workflows, exception handling procedures, and escalation paths into the AI system. Translates business processes into automated decision trees and routing logic.","intents":["I need to automate our specific delivery exception handling process","I want to ensure the AI follows our company's customer service policies","I need to map out which inquiries go to which team based on our workflow"],"best_for":["mid-to-large logistics operations with complex workflows","companies with established processes they want to automate","organizations with dedicated configuration resources"],"limitations":["requires significant upfront time investment to map workflows","difficult to handle workflows outside major carrier networks","changes to business processes require reconfiguration","non-technical staff struggle with workflow mapping tools"],"requires":["detailed documentation of current workflows","workflow mapping tools or interface","technical expertise or dedicated configuration staff","testing environment for workflow validation"],"input_types":["business process documentation","decision criteria","escalation rules","exception definitions"],"output_types":["automated workflow","decision tree","routing configuration","escalation matrix"],"categories":["workflow-automation","configuration","logistics"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_happyrobot__cap_8","uri":"capability://automation.batch.inquiry.processing.and.bulk.response.generation","name":"batch-inquiry-processing-and-bulk-response-generation","description":"Processes large volumes of similar inquiries in batch mode and generates responses at scale. Optimizes for high-throughput scenarios where hundreds or thousands of routine inquiries arrive simultaneously.","intents":["I need to handle a surge of tracking inquiries after a major shipment release","I want to respond to all pending routine inquiries overnight without human intervention","I need to process bulk customer communications efficiently"],"best_for":["logistics companies with predictable inquiry spikes","operations handling 500+ daily inquiries","freight forwarding services with batch shipment releases"],"limitations":["less effective for highly personalized or complex inquiries","requires sufficient inquiry volume to justify batch processing","may introduce slight delays compared to real-time processing"],"requires":["batch processing infrastructure","inquiry queue management","response template library","sufficient computing resources"],"input_types":["batch inquiry file (CSV, JSON, etc.)","inquiry queue","customer contact list"],"output_types":["batch response file","delivery report","failure log","processing metrics"],"categories":["automation","logistics","batch-processing"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_happyrobot__cap_9","uri":"capability://prediction.delivery.window.and.eta.prediction","name":"delivery-window-and-eta-prediction","description":"Predicts accurate delivery windows and estimated time of arrival (ETA) based on carrier data, historical patterns, and current shipment status. Provides customers with reliable delivery expectations.","intents":["I want to give customers accurate delivery windows instead of vague estimates","I need to predict delays before they happen so we can proactively communicate","I want to reduce customer frustration from missed delivery windows"],"best_for":["logistics companies prioritizing customer experience","operations with predictable delivery patterns","freight forwarding services with time-sensitive shipments"],"limitations":["accuracy depends on carrier data quality and completeness","external factors (weather, traffic) may make predictions inaccurate","less accurate for niche carriers or regional routes","requires historical data for model training"],"requires":["carrier tracking data","historical delivery data","machine learning model","current traffic/weather data (optional)"],"input_types":["shipment tracking number","current location","destination","carrier information","shipment type"],"output_types":["estimated delivery date","delivery window (date range)","confidence score","delay probability"],"categories":["prediction","logistics","customer-support"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":44,"verified":false,"data_access_risk":"high","permissions":["carrier API integrations","customer contact information","shipment tracking data","initial workflow configuration","historical inquiry data for training","defined routing rules and escalation criteria","integration with support ticketing system","prompt engineering and workflow mapping","analytics infrastructure","historical inquiry and response data"],"failure_modes":["requires integration with major carrier networks","limited support for niche or regional carriers","accuracy depends on carrier data availability","requires training data to accurately classify edge cases","may misclassify novel or ambiguous inquiry types","steep learning curve for non-technical staff to configure routing rules","metrics may not capture all value (e.g., improved customer satisfaction)","requires sufficient historical data for meaningful trends","cost savings calculations depend on accurate labor cost data","requires comprehensive customer database","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.39999999999999997,"quality":0.82,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:30.893Z","last_scraped_at":"2026-04-05T13:23:42.547Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=happyrobot","compare_url":"https://unfragile.ai/compare?artifact=happyrobot"}},"signature":"e/k4jdZACdVRfRepl8U+RA0jq5n+6bLT1ppOpw1HZr+72F7PcUreKKJe9k/lODH55eycQygbZLa1eZm8qGNRDQ==","signedAt":"2026-06-20T15:57:20.161Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/happyrobot","artifact":"https://unfragile.ai/happyrobot","verify":"https://unfragile.ai/api/v1/verify?slug=happyrobot","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}