{"id":9621829157138,"title":"Unleashed Software Get a Product Integration","handle":"unleashed-software-get-a-product-integration","description":"\u003cbody\u003e\n\n\n \u003cmeta charset=\"utf-8\"\u003e\n \u003ctitle\u003eUnleashed 'Get a Product' Integration | 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 Product Data into Reliable Operations with Unleashed 'Get a Product' Automation\u003c\/h1\u003e\n\n \u003cp\u003eThe Unleashed \"Get a Product\" capability lets your systems fetch a single product’s full profile from your inventory system — everything teams need to know about an item, right when they need it. That includes identifying codes, descriptions, pricing, stock levels, supplier details, location, and relevant attributes that drive buying, selling, and fulfillment decisions.\u003c\/p\u003e\n \u003cp\u003eWhen combined with AI integration and workflow automation, this simple retrieval becomes the backbone of faster order processing, smarter replenishment, and consistent customer experiences. Instead of manual lookups or stale spreadsheets, product data flows where it matters: into storefronts, sales quotes, warehouse scanners, and executive dashboards.\u003c\/p\u003e\n\n \u003ch2\u003eHow It Works\u003c\/h2\u003e\n \u003cp\u003eThink of \"Get a Product\" as the single authoritative product truth that other systems can ask for. From a business perspective, the workflow is straightforward:\u003c\/p\u003e\n \u003cul\u003e\n \u003cli\u003eRequest: A business system — like an e-commerce platform, quoting tool, or warehouse application — asks for one product’s details when it needs to display or act on that item.\u003c\/li\u003e\n \u003cli\u003eRetrieve: The system receives the current product profile: SKU, description, unit price, available quantity, location, supplier, lead time, weight\/dimensions, and any custom attributes you keep in Unleashed.\u003c\/li\u003e\n \u003cli\u003eAct: The requesting system uses that information to show stock on a product page, validate availability during checkout, build a picking list in the warehouse, or include cost and margin fields in a sales quote.\u003c\/li\u003e\n \u003c\/ul\u003e\n \u003cp\u003eThat simple flow can be triggered in different ways: on-demand when a customer or rep looks up an item, automatically when stock changes, or on a scheduled cadence to keep other systems in sync. Mapping the product fields to the way each consuming application uses them is the key step that turns raw data into consistent operations.\u003c\/p\u003e\n\n \u003ch2\u003eThe Power of AI \u0026amp; Agentic Automation\u003c\/h2\u003e\n \u003cp\u003eAI agents lift \"Get a Product\" from a passive data fetch to an active operational force. Instead of only answering requests, agents can monitor, reason, and take action across systems based on product data. This is where AI integration and agentic automation deliver measurable improvements in speed, accuracy, and business efficiency.\u003c\/p\u003e\n \u003cul\u003e\n \u003cli\u003eIntelligent routing: Chatbots and customer support agents consult live product data to route questions or escalate issues — for example, sending a stock inquiry to a fulfillment agent when available quantity dips.\u003c\/li\u003e\n \u003cli\u003eProactive replenishment agents: Automated agents watch product quantities and trigger purchase requests, supplier notifications, or internal approval workflows before stockouts occur.\u003c\/li\u003e\n \u003cli\u003eAnomaly detection: AI can compare expected stock vs. reported stock or historical sales patterns and flag suspicious discrepancies for human review or automated correction.\u003c\/li\u003e\n \u003cli\u003eAutomated catalog updates: Agents automatically push updated descriptions, images, and prices to e-commerce channels when product attributes change, keeping listings consistent and reducing returns from misinformation.\u003c\/li\u003e\n \u003cli\u003eContextual product briefings: Sales assistants generate concise, up-to-date product profiles — availability, delivery expectations, discount rules — so reps can close deals faster with confidence.\u003c\/li\u003e\n \u003c\/ul\u003e\n\n \u003ch2\u003eReal-World Use Cases\u003c\/h2\u003e\n \u003cul\u003e\n \u003cli\u003e\n E-commerce accuracy: When a shopper views a product, the storefront queries live product data to show current availability and correct pricing. An AI agent updates promotional pricing and flags items that must be removed from ads if stock runs low.\n \u003c\/li\u003e\n \u003cli\u003e\n Quote generation: Sales teams use an integrated quoting tool that pulls the latest product cost, margin, and available quantity so quotes never promise items that aren’t on hand. An assistant suggests alternate items when stock levels can't meet demand.\n \u003c\/li\u003e\n \u003cli\u003e\n Warehouse orchestration: Picking and packing systems request the product’s location and available batches to build efficient pick lists. Agents detect when an item is stored in multiple locations and recommend consolidation before shipping to lower fulfillment time.\n \u003c\/li\u003e\n \u003cli\u003e\n Returns and repairs: After a return is logged, a service agent fetches serial number, warranty, and supplier data to decide whether to restock, repair, or scrap an item — and to automatically update inventory and accounting records.\n \u003c\/li\u003e\n \u003cli\u003e\n Finance and reporting: Business intelligence tools pull product-level stock values and cost histories to calculate inventory aging, write-down risk, and profitability by SKU or category — with AI highlighting outliers and forecasting revaluation needs.\n \u003c\/li\u003e\n \u003c\/ul\u003e\n\n \u003ch2\u003eBusiness Benefits\u003c\/h2\u003e\n \u003cp\u003eConnecting accurate product data to automated workflows and AI agents produces benefits across cost, speed, and decision quality. The impact is often immediate and scales as more processes rely on the same trusted source of truth.\u003c\/p\u003e\n \u003cul\u003e\n \u003cli\u003eReduce manual data entry and errors: Automated product retrieval eliminates duplicate updates across systems, cutting manual work by teams who used to copy product details into multiple places.\u003c\/li\u003e\n \u003cli\u003eFaster order processing: Real-time availability checks and automated hold\/release rules decrease order confirmations and fulfillment cycles, improving on-time delivery rates and customer satisfaction.\u003c\/li\u003e\n \u003cli\u003eFewer stockouts and overstocks: Proactive replenishment and smarter forecasting driven by product-level signals reduce emergency purchases and markdowns, improving cash flow and gross margin.\u003c\/li\u003e\n \u003cli\u003eImproved collaboration: Sales, operations, finance, and support all work from the same product facts, reducing back-and-forth and accelerating cross-functional decisions.\u003c\/li\u003e\n \u003cli\u003eScalability with lower overhead: As you add SKUs, channels, or locations, automated product syncs and AI agents scale without a linear increase in headcount or administrative complexity.\u003c\/li\u003e\n \u003cli\u003eAuditability and compliance: Centralized product data and automated change logs create a clear trail for inventory audits and regulatory reporting, reducing reconciliation time.\u003c\/li\u003e\n \u003cli\u003eFaster insights and forecasting: When BI tools receive current product profiles and stock values automatically, forecasting and margin analysis become more accurate and actionable.\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 approaches the Unleashed \"Get a Product\" integration from a business-first perspective. We start by understanding where product data currently causes friction and what the ideal operational flow looks like. From there, we design integrations and AI agent behaviors that reduce that friction and tie product truth into everyday workflows.\u003c\/p\u003e\n \u003cp\u003eTypical engagement steps include:\u003c\/p\u003e\n \u003cul\u003e\n \u003cli\u003eDiscovery and mapping: Identify which product attributes matter to each team and how those fields should map into e-commerce, CRM, warehouse, and BI systems.\u003c\/li\u003e\n \u003cli\u003eWorkflow design: Define triggers and actions — when should systems pull product data, when should agents act, and what approvals are required for automated decisions.\u003c\/li\u003e\n \u003cli\u003eAgent design and rules: Build AI agents that perform tasks such as routing stock alerts, suggesting replenishment, generating product briefs for sales, and orchestrating catalog updates.\u003c\/li\u003e\n \u003cli\u003eIntegration and testing: Implement the data flows and validate them against real business scenarios, ensuring accurate mapping, rate-limit compliance, and secure handling of sensitive information.\u003c\/li\u003e\n \u003cli\u003eOperational roll-out and training: Create simple SOPs and train teams to work with the new automated processes, including how to review agent actions and override behavior when needed.\u003c\/li\u003e\n \u003cli\u003eMonitoring and iteration: Establish dashboards and alerting so product syncs remain healthy, and iterate on agent logic as business needs evolve and new edge cases appear.\u003c\/li\u003e\n \u003c\/ul\u003e\n \u003cp\u003eWe also focus on governance — making sure product updates are traceable, permissions are enforced, and data privacy standards are met — so automation reduces risk as well as work.\u003c\/p\u003e\n\n \u003ch2\u003eFinal Takeaway\u003c\/h2\u003e\n \u003cp\u003eThe Unleashed \"Get a Product\" capability is more than a data pull; it’s the foundation for a modern, automated product ecosystem. When you pair reliable product retrieval with AI integration and agentic automation, routine decisions become automated, teams collaborate faster, and operational risk drops. These changes translate into measurable time savings, fewer errors, more predictable supply, and a better experience for customers and staff alike. For organizations looking to scale without adding complexity, treating product data as the single source of truth and automating how it's used unlocks meaningful business efficiency and digital transformation.\u003c\/p\u003e\n\n\u003c\/body\u003e","published_at":"2024-06-23T02:14:12-05:00","created_at":"2024-06-23T02:14:13-05:00","vendor":"Unleashed Software","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":49684298400018,"title":"Default Title","option1":"Default Title","option2":null,"option3":null,"sku":"","requires_shipping":true,"taxable":true,"featured_image":null,"available":true,"name":"Unleashed Software Get a Product 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\/files\/aac9b8e3a9547b9be0c010e5d98d5979_23852eb1-4704-4b7b-8954-ff5d70e4f1b2.png?v=1719126853"],"featured_image":"\/\/consultantsinabox.com\/cdn\/shop\/files\/aac9b8e3a9547b9be0c010e5d98d5979_23852eb1-4704-4b7b-8954-ff5d70e4f1b2.png?v=1719126853","options":["Title"],"media":[{"alt":"Unleashed Software Logo","id":39859707543826,"position":1,"preview_image":{"aspect_ratio":3.101,"height":129,"width":400,"src":"\/\/consultantsinabox.com\/cdn\/shop\/files\/aac9b8e3a9547b9be0c010e5d98d5979_23852eb1-4704-4b7b-8954-ff5d70e4f1b2.png?v=1719126853"},"aspect_ratio":3.101,"height":129,"media_type":"image","src":"\/\/consultantsinabox.com\/cdn\/shop\/files\/aac9b8e3a9547b9be0c010e5d98d5979_23852eb1-4704-4b7b-8954-ff5d70e4f1b2.png?v=1719126853","width":400}],"requires_selling_plan":false,"selling_plan_groups":[],"content":"\u003cbody\u003e\n\n\n \u003cmeta charset=\"utf-8\"\u003e\n \u003ctitle\u003eUnleashed 'Get a Product' Integration | 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 Product Data into Reliable Operations with Unleashed 'Get a Product' Automation\u003c\/h1\u003e\n\n \u003cp\u003eThe Unleashed \"Get a Product\" capability lets your systems fetch a single product’s full profile from your inventory system — everything teams need to know about an item, right when they need it. That includes identifying codes, descriptions, pricing, stock levels, supplier details, location, and relevant attributes that drive buying, selling, and fulfillment decisions.\u003c\/p\u003e\n \u003cp\u003eWhen combined with AI integration and workflow automation, this simple retrieval becomes the backbone of faster order processing, smarter replenishment, and consistent customer experiences. Instead of manual lookups or stale spreadsheets, product data flows where it matters: into storefronts, sales quotes, warehouse scanners, and executive dashboards.\u003c\/p\u003e\n\n \u003ch2\u003eHow It Works\u003c\/h2\u003e\n \u003cp\u003eThink of \"Get a Product\" as the single authoritative product truth that other systems can ask for. From a business perspective, the workflow is straightforward:\u003c\/p\u003e\n \u003cul\u003e\n \u003cli\u003eRequest: A business system — like an e-commerce platform, quoting tool, or warehouse application — asks for one product’s details when it needs to display or act on that item.\u003c\/li\u003e\n \u003cli\u003eRetrieve: The system receives the current product profile: SKU, description, unit price, available quantity, location, supplier, lead time, weight\/dimensions, and any custom attributes you keep in Unleashed.\u003c\/li\u003e\n \u003cli\u003eAct: The requesting system uses that information to show stock on a product page, validate availability during checkout, build a picking list in the warehouse, or include cost and margin fields in a sales quote.\u003c\/li\u003e\n \u003c\/ul\u003e\n \u003cp\u003eThat simple flow can be triggered in different ways: on-demand when a customer or rep looks up an item, automatically when stock changes, or on a scheduled cadence to keep other systems in sync. Mapping the product fields to the way each consuming application uses them is the key step that turns raw data into consistent operations.\u003c\/p\u003e\n\n \u003ch2\u003eThe Power of AI \u0026amp; Agentic Automation\u003c\/h2\u003e\n \u003cp\u003eAI agents lift \"Get a Product\" from a passive data fetch to an active operational force. Instead of only answering requests, agents can monitor, reason, and take action across systems based on product data. This is where AI integration and agentic automation deliver measurable improvements in speed, accuracy, and business efficiency.\u003c\/p\u003e\n \u003cul\u003e\n \u003cli\u003eIntelligent routing: Chatbots and customer support agents consult live product data to route questions or escalate issues — for example, sending a stock inquiry to a fulfillment agent when available quantity dips.\u003c\/li\u003e\n \u003cli\u003eProactive replenishment agents: Automated agents watch product quantities and trigger purchase requests, supplier notifications, or internal approval workflows before stockouts occur.\u003c\/li\u003e\n \u003cli\u003eAnomaly detection: AI can compare expected stock vs. reported stock or historical sales patterns and flag suspicious discrepancies for human review or automated correction.\u003c\/li\u003e\n \u003cli\u003eAutomated catalog updates: Agents automatically push updated descriptions, images, and prices to e-commerce channels when product attributes change, keeping listings consistent and reducing returns from misinformation.\u003c\/li\u003e\n \u003cli\u003eContextual product briefings: Sales assistants generate concise, up-to-date product profiles — availability, delivery expectations, discount rules — so reps can close deals faster with confidence.\u003c\/li\u003e\n \u003c\/ul\u003e\n\n \u003ch2\u003eReal-World Use Cases\u003c\/h2\u003e\n \u003cul\u003e\n \u003cli\u003e\n E-commerce accuracy: When a shopper views a product, the storefront queries live product data to show current availability and correct pricing. An AI agent updates promotional pricing and flags items that must be removed from ads if stock runs low.\n \u003c\/li\u003e\n \u003cli\u003e\n Quote generation: Sales teams use an integrated quoting tool that pulls the latest product cost, margin, and available quantity so quotes never promise items that aren’t on hand. An assistant suggests alternate items when stock levels can't meet demand.\n \u003c\/li\u003e\n \u003cli\u003e\n Warehouse orchestration: Picking and packing systems request the product’s location and available batches to build efficient pick lists. Agents detect when an item is stored in multiple locations and recommend consolidation before shipping to lower fulfillment time.\n \u003c\/li\u003e\n \u003cli\u003e\n Returns and repairs: After a return is logged, a service agent fetches serial number, warranty, and supplier data to decide whether to restock, repair, or scrap an item — and to automatically update inventory and accounting records.\n \u003c\/li\u003e\n \u003cli\u003e\n Finance and reporting: Business intelligence tools pull product-level stock values and cost histories to calculate inventory aging, write-down risk, and profitability by SKU or category — with AI highlighting outliers and forecasting revaluation needs.\n \u003c\/li\u003e\n \u003c\/ul\u003e\n\n \u003ch2\u003eBusiness Benefits\u003c\/h2\u003e\n \u003cp\u003eConnecting accurate product data to automated workflows and AI agents produces benefits across cost, speed, and decision quality. The impact is often immediate and scales as more processes rely on the same trusted source of truth.\u003c\/p\u003e\n \u003cul\u003e\n \u003cli\u003eReduce manual data entry and errors: Automated product retrieval eliminates duplicate updates across systems, cutting manual work by teams who used to copy product details into multiple places.\u003c\/li\u003e\n \u003cli\u003eFaster order processing: Real-time availability checks and automated hold\/release rules decrease order confirmations and fulfillment cycles, improving on-time delivery rates and customer satisfaction.\u003c\/li\u003e\n \u003cli\u003eFewer stockouts and overstocks: Proactive replenishment and smarter forecasting driven by product-level signals reduce emergency purchases and markdowns, improving cash flow and gross margin.\u003c\/li\u003e\n \u003cli\u003eImproved collaboration: Sales, operations, finance, and support all work from the same product facts, reducing back-and-forth and accelerating cross-functional decisions.\u003c\/li\u003e\n \u003cli\u003eScalability with lower overhead: As you add SKUs, channels, or locations, automated product syncs and AI agents scale without a linear increase in headcount or administrative complexity.\u003c\/li\u003e\n \u003cli\u003eAuditability and compliance: Centralized product data and automated change logs create a clear trail for inventory audits and regulatory reporting, reducing reconciliation time.\u003c\/li\u003e\n \u003cli\u003eFaster insights and forecasting: When BI tools receive current product profiles and stock values automatically, forecasting and margin analysis become more accurate and actionable.\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 approaches the Unleashed \"Get a Product\" integration from a business-first perspective. We start by understanding where product data currently causes friction and what the ideal operational flow looks like. From there, we design integrations and AI agent behaviors that reduce that friction and tie product truth into everyday workflows.\u003c\/p\u003e\n \u003cp\u003eTypical engagement steps include:\u003c\/p\u003e\n \u003cul\u003e\n \u003cli\u003eDiscovery and mapping: Identify which product attributes matter to each team and how those fields should map into e-commerce, CRM, warehouse, and BI systems.\u003c\/li\u003e\n \u003cli\u003eWorkflow design: Define triggers and actions — when should systems pull product data, when should agents act, and what approvals are required for automated decisions.\u003c\/li\u003e\n \u003cli\u003eAgent design and rules: Build AI agents that perform tasks such as routing stock alerts, suggesting replenishment, generating product briefs for sales, and orchestrating catalog updates.\u003c\/li\u003e\n \u003cli\u003eIntegration and testing: Implement the data flows and validate them against real business scenarios, ensuring accurate mapping, rate-limit compliance, and secure handling of sensitive information.\u003c\/li\u003e\n \u003cli\u003eOperational roll-out and training: Create simple SOPs and train teams to work with the new automated processes, including how to review agent actions and override behavior when needed.\u003c\/li\u003e\n \u003cli\u003eMonitoring and iteration: Establish dashboards and alerting so product syncs remain healthy, and iterate on agent logic as business needs evolve and new edge cases appear.\u003c\/li\u003e\n \u003c\/ul\u003e\n \u003cp\u003eWe also focus on governance — making sure product updates are traceable, permissions are enforced, and data privacy standards are met — so automation reduces risk as well as work.\u003c\/p\u003e\n\n \u003ch2\u003eFinal Takeaway\u003c\/h2\u003e\n \u003cp\u003eThe Unleashed \"Get a Product\" capability is more than a data pull; it’s the foundation for a modern, automated product ecosystem. When you pair reliable product retrieval with AI integration and agentic automation, routine decisions become automated, teams collaborate faster, and operational risk drops. These changes translate into measurable time savings, fewer errors, more predictable supply, and a better experience for customers and staff alike. For organizations looking to scale without adding complexity, treating product data as the single source of truth and automating how it's used unlocks meaningful business efficiency and digital transformation.\u003c\/p\u003e\n\n\u003c\/body\u003e"}