{"id":9039784673554,"title":"Twilio Make an API Call for Studio Integration","handle":"twilio-make-an-api-call-for-studio-integration","description":"\u003cbody\u003e\n\n\n \u003cmeta charset=\"utf-8\"\u003e\n \u003ctitle\u003eTwilio Studio API Calls | Consultants In-A-Box\u003c\/title\u003e\n \u003cmeta name=\"viewport\" content=\"width=device-width, initial-scale=1\"\u003e\n \u003cstyle\u003e\n body {\n font-family: Inter, \"Segoe UI\", Roboto, sans-serif;\n background: #ffffff;\n color: #1f2937;\n line-height: 1.7;\n margin: 0;\n padding: 48px;\n }\n h1 { font-size: 32px; margin-bottom: 16px; }\n h2 { font-size: 22px; margin-top: 32px; }\n p { margin: 12px 0; }\n ul { margin: 12px 0 12px 24px; }\n \/* No link styles: do not create or style anchors *\/\n \u003c\/style\u003e\n\n\n \u003ch1\u003eTurn Conversations into Actions: Extending Twilio Studio with External API Calls for Smarter Automation\u003c\/h1\u003e\n\n \u003cp\u003eConnecting a phone call, an SMS thread, or a chat message to the systems that run your business changes the conversation from passive to purposeful. Twilio Studio’s ability to make external API calls lets your customer-facing interactions fetch live data, update backend systems, and trigger business processes in real time — so every message can become an actionable step rather than a dead-end exchange.\u003c\/p\u003e\n \u003cp\u003eFor leaders focused on operational efficiency and digital transformation, that capability matters because it reduces manual handoffs, prevents stale information from guiding decisions, and brings frontline interactions into the workflows that actually move the business. Replacing one-off lookups and spreadsheets with automated, context-aware calls creates faster service, fewer errors, and measurable business efficiency.\u003c\/p\u003e\n\n \u003ch2\u003eHow It Works\u003c\/h2\u003e\n \u003cp\u003eAt a high level, making an API call inside a visual flow is a way to let a conversation reach out and ask another system a question or give it an instruction. From your team's point of view, Studio becomes the coordinator: it gathers input from the customer, asks the right systems for the data it needs, and then uses that information to decide what happens next — continue the call, update a record, schedule an appointment, or route the conversation to a specialist.\u003c\/p\u003e\n \u003cp\u003eThink of the flow as a decision tree that can pause to gather facts from other places. A customer types a question, the flow pauses to check order status, the response shapes the message the customer receives, and the system updates internal records if necessary. Behind the scenes, there are safeguards — authentication, retries, and error handling — to make sure the business processes triggered by these calls are reliable and auditable.\u003c\/p\u003e\n\n \u003ch2\u003eThe Power of AI \u0026amp; Agentic Automation\u003c\/h2\u003e\n \u003cp\u003ePairing API-driven conversations with AI integration and agentic automation transforms scripted interactions into dynamic, goal-oriented experiences. Rather than following a fixed script, AI-enabled agents can understand intent, make decisions about which systems to query, and orchestrate multi-step actions across platforms. They act like virtual operators that can plan, execute, and adapt on behalf of your teams.\u003c\/p\u003e\n \u003cul\u003e\n \u003cli\u003eIntelligent routing: AI agents can analyze conversation intent and use live system checks to route customers to the best resource — whether that’s a knowledge base article, a self-service action, or a specific specialist — with context pre-attached.\u003c\/li\u003e\n \u003cli\u003eAdaptive scripting: Instead of one-size-fits-all prompts, AI can craft responses and next steps by combining customer input with external data, making messages feel personalized and relevant in the moment.\u003c\/li\u003e\n \u003cli\u003eChained automation: Agentic bots can sequence multiple API calls — check availability, reserve a slot, update a calendar, and send confirmation — without manual steps or fragile handoffs.\u003c\/li\u003e\n \u003cli\u003eContext preservation: AI summarizes key details and passes a concise context snapshot through API calls, so human agents receive a clean, actionable handoff and customers don't have to repeat themselves.\u003c\/li\u003e\n \u003c\/ul\u003e\n\n \u003ch2\u003eReal-World Use Cases\u003c\/h2\u003e\n \u003cul\u003e\n \u003cli\u003eAppointment confirmations that check live availability: A patient replies to a reminder SMS, the flow queries the scheduling system to confirm the slot, updates calendars, and sends a confirmation — reducing no-shows and cutting back-office churn.\u003c\/li\u003e\n \u003cli\u003eOrder status and delivery updates: Customers text “where’s my order?” and the flow looks up the latest logistics data, reports an ETA, and automatically creates follow-up tasks when exceptions occur.\u003c\/li\u003e\n \u003cli\u003eTiered support escalation: A virtual agent collects problem details, fetches account history and recent transactions, and either resolves the issue with a self-help response or triggers a specialist handoff with the full context pre-populated.\u003c\/li\u003e\n \u003cli\u003eReal-time verification and tailored offers: During a renewal call, the flow verifies contract status, checks eligibility from the CRM, and presents personalized upgrade options based on live entitlements and usage.\u003c\/li\u003e\n \u003cli\u003eIncident-driven coordination: A backend alert triggers a Studio flow that notifies impacted customers, provides status updates, and opens incident tickets in the operations system — all coordinated automatically.\u003c\/li\u003e\n \u003cli\u003eField service orchestration: A customer reports a problem via chat; the flow checks inventory, schedules a technician, confirms the appointment, and updates work orders across systems without manual intervention.\u003c\/li\u003e\n \u003c\/ul\u003e\n\n \u003ch2\u003eBusiness Benefits\u003c\/h2\u003e\n \u003cp\u003eEmbedding real-time data access and automated actions into conversation flows delivers practical, measurable improvements across operations, customer experience, and team productivity. The benefits stack in ways that support both short-term efficiency and longer-term digital transformation.\u003c\/p\u003e\n \u003cul\u003e\n \u003cli\u003eTime savings: Automating routine lookups and updates removes repetitive work for agents and back-office staff. Teams often reallocate hours previously spent on manual searches toward higher-value customer interactions and problem solving.\u003c\/li\u003e\n \u003cli\u003eReduced errors: Automated exchanges between systems lower the risk of manual entry mistakes, keeping customer records synchronized and improving compliance and reporting accuracy.\u003c\/li\u003e\n \u003cli\u003eFaster resolution: With relevant information surfaced at the moment of interaction, issues are resolved more quickly and with fewer transfers, improving customer satisfaction and first-contact resolution rates.\u003c\/li\u003e\n \u003cli\u003eScalability: Visual conversational flows that call external systems scale predictably. As volume grows, automation keeps response quality consistent without a proportional rise in headcount.\u003c\/li\u003e\n \u003cli\u003eImproved collaboration: When flows pass structured context to human teams, handoffs are cleaner and decisions are faster — cross-functional teams operate from the same, current picture.\u003c\/li\u003e\n \u003cli\u003eBusiness agility: Because logic is centralized in flows and calls, changes to business rules or third-party integrations can be reflected quickly, supporting ongoing digital transformation and rapid adaptation to market shifts.\u003c\/li\u003e\n \u003c\/ul\u003e\n\n \u003ch2\u003eHow Consultants In-A-Box Helps\u003c\/h2\u003e\n \u003cp\u003eConsultants In-A-Box treats Twilio Studio integrations as design problems, not just technical tasks. We begin by mapping the desired customer journey and identifying the decision points where data or actions from other systems are required. From there we design flows that use API calls strategically — minimizing complexity while maximizing business impact.\u003c\/p\u003e\n \u003cp\u003eOur approach includes translating business rules into flow logic, choosing which systems to query at each moment, and building robust error handling and observability so teams always know when calls succeed or fail. We layer AI integration where it amplifies outcomes: intent detection to reduce misroutes, summarization to speed handoffs, and agentic sequences to automate multi-step processes.\u003c\/p\u003e\n \u003cp\u003eSecurity, privacy, and governance are core parts of the design. That means defining clear fallback strategies when external systems are unavailable, implementing role-based access to sensitive data, and building audit trails that make regulatory compliance and incident review straightforward. We also support workforce development by creating role-based documentation and training so operations and customer service teams can manage automations without constant developer involvement.\u003c\/p\u003e\n\n \u003ch2\u003eSummary\u003c\/h2\u003e\n \u003cp\u003eUsing external API calls inside Twilio Studio turns conversations into coordinated business actions. When combined with AI integration and agentic automation, Studio flows become proactive, context-aware assistants that reduce manual work, lower error rates, and scale consistent, personalized service. The result is more efficient operations, better customer experiences, and a durable foundation for digital transformation and ongoing business efficiency.\u003c\/p\u003e\n\n\u003c\/body\u003e","published_at":"2024-01-24T18:02:32-06:00","created_at":"2024-01-24T18:02:34-06:00","vendor":"Twilio","type":"Integration","tags":[],"price":0,"price_min":0,"price_max":0,"available":true,"price_varies":false,"compare_at_price":null,"compare_at_price_min":0,"compare_at_price_max":0,"compare_at_price_varies":false,"variants":[{"id":47898719551762,"title":"Default Title","option1":"Default Title","option2":null,"option3":null,"sku":"","requires_shipping":true,"taxable":true,"featured_image":null,"available":true,"name":"Twilio Make an API Call for Studio Integration","public_title":null,"options":["Default Title"],"price":0,"weight":0,"compare_at_price":null,"inventory_management":null,"barcode":null,"requires_selling_plan":false,"selling_plan_allocations":[]}],"images":["\/\/consultantsinabox.com\/cdn\/shop\/products\/24246d511ae14584267e5d88cf82d5e7_590c4f6c-866b-4a2c-9be2-509a390220f2.svg?v=1706140954"],"featured_image":"\/\/consultantsinabox.com\/cdn\/shop\/products\/24246d511ae14584267e5d88cf82d5e7_590c4f6c-866b-4a2c-9be2-509a390220f2.svg?v=1706140954","options":["Title"],"media":[{"alt":"Twilio Logo","id":37255898661138,"position":1,"preview_image":{"aspect_ratio":1.0,"height":2500,"width":2500,"src":"\/\/consultantsinabox.com\/cdn\/shop\/products\/24246d511ae14584267e5d88cf82d5e7_590c4f6c-866b-4a2c-9be2-509a390220f2.svg?v=1706140954"},"aspect_ratio":1.0,"height":2500,"media_type":"image","src":"\/\/consultantsinabox.com\/cdn\/shop\/products\/24246d511ae14584267e5d88cf82d5e7_590c4f6c-866b-4a2c-9be2-509a390220f2.svg?v=1706140954","width":2500}],"requires_selling_plan":false,"selling_plan_groups":[],"content":"\u003cbody\u003e\n\n\n \u003cmeta charset=\"utf-8\"\u003e\n \u003ctitle\u003eTwilio Studio API Calls | Consultants In-A-Box\u003c\/title\u003e\n \u003cmeta name=\"viewport\" content=\"width=device-width, initial-scale=1\"\u003e\n \u003cstyle\u003e\n body {\n font-family: Inter, \"Segoe UI\", Roboto, sans-serif;\n background: #ffffff;\n color: #1f2937;\n line-height: 1.7;\n margin: 0;\n padding: 48px;\n }\n h1 { font-size: 32px; margin-bottom: 16px; }\n h2 { font-size: 22px; margin-top: 32px; }\n p { margin: 12px 0; }\n ul { margin: 12px 0 12px 24px; }\n \/* No link styles: do not create or style anchors *\/\n \u003c\/style\u003e\n\n\n \u003ch1\u003eTurn Conversations into Actions: Extending Twilio Studio with External API Calls for Smarter Automation\u003c\/h1\u003e\n\n \u003cp\u003eConnecting a phone call, an SMS thread, or a chat message to the systems that run your business changes the conversation from passive to purposeful. Twilio Studio’s ability to make external API calls lets your customer-facing interactions fetch live data, update backend systems, and trigger business processes in real time — so every message can become an actionable step rather than a dead-end exchange.\u003c\/p\u003e\n \u003cp\u003eFor leaders focused on operational efficiency and digital transformation, that capability matters because it reduces manual handoffs, prevents stale information from guiding decisions, and brings frontline interactions into the workflows that actually move the business. Replacing one-off lookups and spreadsheets with automated, context-aware calls creates faster service, fewer errors, and measurable business efficiency.\u003c\/p\u003e\n\n \u003ch2\u003eHow It Works\u003c\/h2\u003e\n \u003cp\u003eAt a high level, making an API call inside a visual flow is a way to let a conversation reach out and ask another system a question or give it an instruction. From your team's point of view, Studio becomes the coordinator: it gathers input from the customer, asks the right systems for the data it needs, and then uses that information to decide what happens next — continue the call, update a record, schedule an appointment, or route the conversation to a specialist.\u003c\/p\u003e\n \u003cp\u003eThink of the flow as a decision tree that can pause to gather facts from other places. A customer types a question, the flow pauses to check order status, the response shapes the message the customer receives, and the system updates internal records if necessary. Behind the scenes, there are safeguards — authentication, retries, and error handling — to make sure the business processes triggered by these calls are reliable and auditable.\u003c\/p\u003e\n\n \u003ch2\u003eThe Power of AI \u0026amp; Agentic Automation\u003c\/h2\u003e\n \u003cp\u003ePairing API-driven conversations with AI integration and agentic automation transforms scripted interactions into dynamic, goal-oriented experiences. Rather than following a fixed script, AI-enabled agents can understand intent, make decisions about which systems to query, and orchestrate multi-step actions across platforms. They act like virtual operators that can plan, execute, and adapt on behalf of your teams.\u003c\/p\u003e\n \u003cul\u003e\n \u003cli\u003eIntelligent routing: AI agents can analyze conversation intent and use live system checks to route customers to the best resource — whether that’s a knowledge base article, a self-service action, or a specific specialist — with context pre-attached.\u003c\/li\u003e\n \u003cli\u003eAdaptive scripting: Instead of one-size-fits-all prompts, AI can craft responses and next steps by combining customer input with external data, making messages feel personalized and relevant in the moment.\u003c\/li\u003e\n \u003cli\u003eChained automation: Agentic bots can sequence multiple API calls — check availability, reserve a slot, update a calendar, and send confirmation — without manual steps or fragile handoffs.\u003c\/li\u003e\n \u003cli\u003eContext preservation: AI summarizes key details and passes a concise context snapshot through API calls, so human agents receive a clean, actionable handoff and customers don't have to repeat themselves.\u003c\/li\u003e\n \u003c\/ul\u003e\n\n \u003ch2\u003eReal-World Use Cases\u003c\/h2\u003e\n \u003cul\u003e\n \u003cli\u003eAppointment confirmations that check live availability: A patient replies to a reminder SMS, the flow queries the scheduling system to confirm the slot, updates calendars, and sends a confirmation — reducing no-shows and cutting back-office churn.\u003c\/li\u003e\n \u003cli\u003eOrder status and delivery updates: Customers text “where’s my order?” and the flow looks up the latest logistics data, reports an ETA, and automatically creates follow-up tasks when exceptions occur.\u003c\/li\u003e\n \u003cli\u003eTiered support escalation: A virtual agent collects problem details, fetches account history and recent transactions, and either resolves the issue with a self-help response or triggers a specialist handoff with the full context pre-populated.\u003c\/li\u003e\n \u003cli\u003eReal-time verification and tailored offers: During a renewal call, the flow verifies contract status, checks eligibility from the CRM, and presents personalized upgrade options based on live entitlements and usage.\u003c\/li\u003e\n \u003cli\u003eIncident-driven coordination: A backend alert triggers a Studio flow that notifies impacted customers, provides status updates, and opens incident tickets in the operations system — all coordinated automatically.\u003c\/li\u003e\n \u003cli\u003eField service orchestration: A customer reports a problem via chat; the flow checks inventory, schedules a technician, confirms the appointment, and updates work orders across systems without manual intervention.\u003c\/li\u003e\n \u003c\/ul\u003e\n\n \u003ch2\u003eBusiness Benefits\u003c\/h2\u003e\n \u003cp\u003eEmbedding real-time data access and automated actions into conversation flows delivers practical, measurable improvements across operations, customer experience, and team productivity. The benefits stack in ways that support both short-term efficiency and longer-term digital transformation.\u003c\/p\u003e\n \u003cul\u003e\n \u003cli\u003eTime savings: Automating routine lookups and updates removes repetitive work for agents and back-office staff. Teams often reallocate hours previously spent on manual searches toward higher-value customer interactions and problem solving.\u003c\/li\u003e\n \u003cli\u003eReduced errors: Automated exchanges between systems lower the risk of manual entry mistakes, keeping customer records synchronized and improving compliance and reporting accuracy.\u003c\/li\u003e\n \u003cli\u003eFaster resolution: With relevant information surfaced at the moment of interaction, issues are resolved more quickly and with fewer transfers, improving customer satisfaction and first-contact resolution rates.\u003c\/li\u003e\n \u003cli\u003eScalability: Visual conversational flows that call external systems scale predictably. As volume grows, automation keeps response quality consistent without a proportional rise in headcount.\u003c\/li\u003e\n \u003cli\u003eImproved collaboration: When flows pass structured context to human teams, handoffs are cleaner and decisions are faster — cross-functional teams operate from the same, current picture.\u003c\/li\u003e\n \u003cli\u003eBusiness agility: Because logic is centralized in flows and calls, changes to business rules or third-party integrations can be reflected quickly, supporting ongoing digital transformation and rapid adaptation to market shifts.\u003c\/li\u003e\n \u003c\/ul\u003e\n\n \u003ch2\u003eHow Consultants In-A-Box Helps\u003c\/h2\u003e\n \u003cp\u003eConsultants In-A-Box treats Twilio Studio integrations as design problems, not just technical tasks. We begin by mapping the desired customer journey and identifying the decision points where data or actions from other systems are required. From there we design flows that use API calls strategically — minimizing complexity while maximizing business impact.\u003c\/p\u003e\n \u003cp\u003eOur approach includes translating business rules into flow logic, choosing which systems to query at each moment, and building robust error handling and observability so teams always know when calls succeed or fail. We layer AI integration where it amplifies outcomes: intent detection to reduce misroutes, summarization to speed handoffs, and agentic sequences to automate multi-step processes.\u003c\/p\u003e\n \u003cp\u003eSecurity, privacy, and governance are core parts of the design. That means defining clear fallback strategies when external systems are unavailable, implementing role-based access to sensitive data, and building audit trails that make regulatory compliance and incident review straightforward. We also support workforce development by creating role-based documentation and training so operations and customer service teams can manage automations without constant developer involvement.\u003c\/p\u003e\n\n \u003ch2\u003eSummary\u003c\/h2\u003e\n \u003cp\u003eUsing external API calls inside Twilio Studio turns conversations into coordinated business actions. When combined with AI integration and agentic automation, Studio flows become proactive, context-aware assistants that reduce manual work, lower error rates, and scale consistent, personalized service. The result is more efficient operations, better customer experiences, and a durable foundation for digital transformation and ongoing business efficiency.\u003c\/p\u003e\n\n\u003c\/body\u003e"}

Twilio Make an API Call for Studio Integration

service Description
Twilio Studio API Calls | Consultants In-A-Box

Turn Conversations into Actions: Extending Twilio Studio with External API Calls for Smarter Automation

Connecting a phone call, an SMS thread, or a chat message to the systems that run your business changes the conversation from passive to purposeful. Twilio Studio’s ability to make external API calls lets your customer-facing interactions fetch live data, update backend systems, and trigger business processes in real time — so every message can become an actionable step rather than a dead-end exchange.

For leaders focused on operational efficiency and digital transformation, that capability matters because it reduces manual handoffs, prevents stale information from guiding decisions, and brings frontline interactions into the workflows that actually move the business. Replacing one-off lookups and spreadsheets with automated, context-aware calls creates faster service, fewer errors, and measurable business efficiency.

How It Works

At a high level, making an API call inside a visual flow is a way to let a conversation reach out and ask another system a question or give it an instruction. From your team's point of view, Studio becomes the coordinator: it gathers input from the customer, asks the right systems for the data it needs, and then uses that information to decide what happens next — continue the call, update a record, schedule an appointment, or route the conversation to a specialist.

Think of the flow as a decision tree that can pause to gather facts from other places. A customer types a question, the flow pauses to check order status, the response shapes the message the customer receives, and the system updates internal records if necessary. Behind the scenes, there are safeguards — authentication, retries, and error handling — to make sure the business processes triggered by these calls are reliable and auditable.

The Power of AI & Agentic Automation

Pairing API-driven conversations with AI integration and agentic automation transforms scripted interactions into dynamic, goal-oriented experiences. Rather than following a fixed script, AI-enabled agents can understand intent, make decisions about which systems to query, and orchestrate multi-step actions across platforms. They act like virtual operators that can plan, execute, and adapt on behalf of your teams.

  • Intelligent routing: AI agents can analyze conversation intent and use live system checks to route customers to the best resource — whether that’s a knowledge base article, a self-service action, or a specific specialist — with context pre-attached.
  • Adaptive scripting: Instead of one-size-fits-all prompts, AI can craft responses and next steps by combining customer input with external data, making messages feel personalized and relevant in the moment.
  • Chained automation: Agentic bots can sequence multiple API calls — check availability, reserve a slot, update a calendar, and send confirmation — without manual steps or fragile handoffs.
  • Context preservation: AI summarizes key details and passes a concise context snapshot through API calls, so human agents receive a clean, actionable handoff and customers don't have to repeat themselves.

Real-World Use Cases

  • Appointment confirmations that check live availability: A patient replies to a reminder SMS, the flow queries the scheduling system to confirm the slot, updates calendars, and sends a confirmation — reducing no-shows and cutting back-office churn.
  • Order status and delivery updates: Customers text “where’s my order?” and the flow looks up the latest logistics data, reports an ETA, and automatically creates follow-up tasks when exceptions occur.
  • Tiered support escalation: A virtual agent collects problem details, fetches account history and recent transactions, and either resolves the issue with a self-help response or triggers a specialist handoff with the full context pre-populated.
  • Real-time verification and tailored offers: During a renewal call, the flow verifies contract status, checks eligibility from the CRM, and presents personalized upgrade options based on live entitlements and usage.
  • Incident-driven coordination: A backend alert triggers a Studio flow that notifies impacted customers, provides status updates, and opens incident tickets in the operations system — all coordinated automatically.
  • Field service orchestration: A customer reports a problem via chat; the flow checks inventory, schedules a technician, confirms the appointment, and updates work orders across systems without manual intervention.

Business Benefits

Embedding real-time data access and automated actions into conversation flows delivers practical, measurable improvements across operations, customer experience, and team productivity. The benefits stack in ways that support both short-term efficiency and longer-term digital transformation.

  • Time savings: Automating routine lookups and updates removes repetitive work for agents and back-office staff. Teams often reallocate hours previously spent on manual searches toward higher-value customer interactions and problem solving.
  • Reduced errors: Automated exchanges between systems lower the risk of manual entry mistakes, keeping customer records synchronized and improving compliance and reporting accuracy.
  • Faster resolution: With relevant information surfaced at the moment of interaction, issues are resolved more quickly and with fewer transfers, improving customer satisfaction and first-contact resolution rates.
  • Scalability: Visual conversational flows that call external systems scale predictably. As volume grows, automation keeps response quality consistent without a proportional rise in headcount.
  • Improved collaboration: When flows pass structured context to human teams, handoffs are cleaner and decisions are faster — cross-functional teams operate from the same, current picture.
  • Business agility: Because logic is centralized in flows and calls, changes to business rules or third-party integrations can be reflected quickly, supporting ongoing digital transformation and rapid adaptation to market shifts.

How Consultants In-A-Box Helps

Consultants In-A-Box treats Twilio Studio integrations as design problems, not just technical tasks. We begin by mapping the desired customer journey and identifying the decision points where data or actions from other systems are required. From there we design flows that use API calls strategically — minimizing complexity while maximizing business impact.

Our approach includes translating business rules into flow logic, choosing which systems to query at each moment, and building robust error handling and observability so teams always know when calls succeed or fail. We layer AI integration where it amplifies outcomes: intent detection to reduce misroutes, summarization to speed handoffs, and agentic sequences to automate multi-step processes.

Security, privacy, and governance are core parts of the design. That means defining clear fallback strategies when external systems are unavailable, implementing role-based access to sensitive data, and building audit trails that make regulatory compliance and incident review straightforward. We also support workforce development by creating role-based documentation and training so operations and customer service teams can manage automations without constant developer involvement.

Summary

Using external API calls inside Twilio Studio turns conversations into coordinated business actions. When combined with AI integration and agentic automation, Studio flows become proactive, context-aware assistants that reduce manual work, lower error rates, and scale consistent, personalized service. The result is more efficient operations, better customer experiences, and a durable foundation for digital transformation and ongoing business efficiency.

The Twilio Make an API Call for Studio Integration was built with people like you in mind. Something to keep you happy. Every. Single. Day.

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