{"id":9621830467858,"title":"Unleashed Software Obsolete a Product Integration","handle":"unleashed-software-obsolete-a-product-integration","description":"\u003cbody\u003e\n\n\n \u003cmeta charset=\"utf-8\"\u003e\n \u003ctitle\u003eObsolete a Product | 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\u003eKeep Inventory Accurate and Lean by Automating Product Obsolescence\u003c\/h1\u003e\n\n \u003cp\u003eMarking a product as obsolete might sound like an administrative detail, but it’s a high-impact lever for operational efficiency. The feature that lets you set items as obsolete—so they’re removed from active catalogues and transactions—solves hidden complexity in inventory-heavy businesses. When done correctly, obsoleting products not only clears clutter from systems and warehouses but also improves forecasting, reduces carrying costs, and reduces risk across purchasing and accounting.\u003c\/p\u003e\n\n \u003cp\u003eModern platforms like Unleashed provide programmatic ways to change product status, and when you combine that capability with AI integration and workflow automation, the process becomes proactive instead of reactive. Rather than relying on spreadsheets and memory, organizations can surface candidates for obsolescence, validate them against business rules, and execute updates automatically with audit trails and stakeholder notifications.\u003c\/p\u003e\n\n \u003ch2\u003eHow It Works\u003c\/h2\u003e\n \u003cp\u003eAt a business level, automating product obsolescence is a three-step flow: identify, validate, and update. Identification collects data about sales velocity, stock levels, supplier lead times, margins, and seasonality to flag products that may no longer belong in the active catalogue. Validation applies business rules—like minimum inventory thresholds, open orders, warranty obligations, or regulatory holds—to ensure nothing critical is removed by mistake. Update is the operational step where the product is marked obsolete across the inventory system and downstream tools (e.g., e-commerce, accounting, and warehouse management), while retaining records for audit and reporting.\u003c\/p\u003e\n\n \u003cp\u003eThis flow is supported by role-based permissions and error handling so that only authorized people or systems can finalize obsolescence actions. The system keeps a clear audit trail showing who or what initiated the change, when it happened, and why. That trail is critical for finance teams reconciling stock values, for operations teams planning warehouse layouts, and for procurement teams negotiating supplier terms.\u003c\/p\u003e\n\n \u003ch2\u003eThe Power of AI \u0026amp; Agentic Automation\u003c\/h2\u003e\n \u003cp\u003eAI transforms obsolescence from a manual checklist into continuous, intelligent operations. Agentic automation—autonomous software agents that act on behalf of teams—adds a layer of decision assistance and execution capability that scales with business complexity. These agents don't replace humans; they amplify decisions, handle repetitive tasks, and surface exceptions that need human judgment.\u003c\/p\u003e\n \u003cul\u003e\n \u003cli\u003eContinuous monitoring: AI agents monitor sales, returns, and inventory turnover in real time to flag slow-moving or stagnant SKUs before they become a storage cost problem.\u003c\/li\u003e\n \u003cli\u003eIntelligent recommendations: Machine learning models suggest obsolescence candidates based on patterns across product families, regions, and channels—so teams can focus on exceptions, not spreadsheets.\u003c\/li\u003e\n \u003cli\u003eAutonomous execution: Workflow bots can follow approved rules to mark items obsolete, update pricing and listings, and notify finance and warehouse systems—reducing manual edits and the risk of missed steps.\u003c\/li\u003e\n \u003cli\u003eException handling: When rules conflict or edge cases appear (open sales orders, warranties, or regulatory holds), agents escalate via structured tasks and context-rich summaries so people can decide quickly.\u003c\/li\u003e\n \u003cli\u003eCross-system consistency: Agents reconcile changes across ERP, e-commerce, and warehouse systems, preserving data integrity and preventing orphaned SKUs or transaction errors.\u003c\/li\u003e\n \u003c\/ul\u003e\n\n \u003ch2\u003eReal-World Use Cases\u003c\/h2\u003e\n \u003cul\u003e\n \u003cli\u003eSeasonal clearance: An AI agent tracks seasonal SKU performance across channels. As demand drops, it recommends obsolescence for unsold winter items, updates inventory listings, and triggers promotions for remaining stock where appropriate.\u003c\/li\u003e\n \u003cli\u003eSKU rationalization after acquisition: Following an acquisition, a workflow bot compares the combined product portfolios, identifies duplicates and low-value SKUs, and prepares a staged obsolescence plan to simplify SKUs without disrupting open orders.\u003c\/li\u003e\n \u003cli\u003eSlow-moving spare parts: Manufacturers often carry hundreds of spare parts. Agents detect parts with multi-quarter low demand, validate warranty commitments, and mark excess items obsolete while ensuring parts with critical service obligations remain active.\u003c\/li\u003e\n \u003cli\u003eRecall and compliance management: If a product is under recall, automation immediately removes it from active listings, flags affected warehouses, and generates reports for compliance teams—saving time and reducing legal risk.\u003c\/li\u003e\n \u003cli\u003eCatalog clean-up for e-commerce: Merchandising bots identify products with zero web traffic and no transactions in a defined window, propose obsolescence, and follow a staged removal to avoid SEO or customer experience problems.\u003c\/li\u003e\n \u003c\/ul\u003e\n\n \u003ch2\u003eBusiness Benefits\u003c\/h2\u003e\n \u003cp\u003eAutomating product obsolescence creates measurable business efficiency across operations, finance, and customer experience. The combination of AI integration and workflow automation reduces manual work, improves decision quality, and scales governance as your catalogue grows.\u003c\/p\u003e\n \u003cul\u003e\n \u003cli\u003eTime savings: Teams reclaim hours previously spent on manual audits, status changes, and cross-system updates. Automations handle routine checks and mass updates while humans focus on exceptions and strategy.\u003c\/li\u003e\n \u003cli\u003eReduced errors: Consistent rules and automated execution reduce data entry mistakes and prevent situations where obsolete items remain available for sale or cause transaction failures.\u003c\/li\u003e\n \u003cli\u003eImproved forecasting and planning: With a cleaner active catalogue, demand signals are clearer and forecasting models perform better—helping procurement and finance make smarter purchasing and budgeting decisions.\u003c\/li\u003e\n \u003cli\u003eWarehouse optimization: Removing obsolete SKUs from active workflows frees up shelf space for faster-turning, higher-margin products and reduces picking complexity for fulfillment teams.\u003c\/li\u003e\n \u003cli\u003eFinancial accuracy: Accurate inventory status means more reliable balance sheets and better-informed depreciation and write-off decisions, reducing the risk of surprise adjustments at quarter-end.\u003c\/li\u003e\n \u003cli\u003eFaster cross-team collaboration: Automated notifications and task handoffs keep procurement, sales, and finance aligned—so everyone understands why an item was obsoleted and the impact on orders and revenue recognition.\u003c\/li\u003e\n \u003cli\u003eScalability and governance: As product portfolios expand, automated rules and AI agents enforce consistent obsolescence policies and maintain an auditable process that scales with business growth.\u003c\/li\u003e\n \u003c\/ul\u003e\n\n \u003ch2\u003eHow Consultants In-A-Box Helps\u003c\/h2\u003e\n \u003cp\u003eDesigning a reliable, accountable obsolescence automation requires both technical integration and operational change. Consultants In-A-Box blends implementation experience with workforce development to make the transformation stick. We start with a discovery phase to map your product lifecycle, stakeholder responsibilities, and integration points across inventory, ERP, and commerce systems. From there, we co-design obsolescence rules that reflect your commercial priorities—covering thresholds, exceptions, and staged retirement paths.\u003c\/p\u003e\n\n \u003cp\u003eNext, our team builds the automation: AI models to surface candidates, workflow bots to run validations and updates, and interfaces that present recommendations to business users. We prioritize explainability so every suggested action includes the key data points that drove the decision. Security and governance are embedded: role-based approvals, detailed audit logs, and rollback processes protect finance and operations from accidental changes.\u003c\/p\u003e\n\n \u003cp\u003eFinally, we support rollout and adoption. That includes scenario testing, training for users who will oversee exceptions, and operational playbooks that show how agents behave under common business conditions. We also help set KPIs—like reduction in manual updates, improvement in forecast accuracy, and inventory carrying cost changes—so you can measure the value of automation over time.\u003c\/p\u003e\n\n \u003ch2\u003eFinal Thoughts\u003c\/h2\u003e\n \u003cp\u003eAutomating product obsolescence is more than housekeeping: it’s a practical step toward digital transformation that delivers business efficiency and clarity. When AI agents continuously monitor product health, suggest data-driven retirements, and execute consistent updates across systems, companies save time, reduce risk, and free teams to focus on growth. The result is a leaner, more accurate catalogue, better warehouse utilization, and cleaner financials—outcomes that matter to operations, finance, and leadership alike.\u003c\/p\u003e\n\n\u003c\/body\u003e","published_at":"2024-06-23T02:16:33-05:00","created_at":"2024-06-23T02:16:34-05:00","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":49684300661010,"title":"Default Title","option1":"Default Title","option2":null,"option3":null,"sku":"","requires_shipping":true,"taxable":true,"featured_image":null,"available":true,"name":"Unleashed Software Obsolete 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_49e3a7f6-ab2b-42eb-a8ef-80f75815af40.png?v=1719126994"],"featured_image":"\/\/consultantsinabox.com\/cdn\/shop\/files\/aac9b8e3a9547b9be0c010e5d98d5979_49e3a7f6-ab2b-42eb-a8ef-80f75815af40.png?v=1719126994","options":["Title"],"media":[{"alt":"Unleashed Software Logo","id":39859722191122,"position":1,"preview_image":{"aspect_ratio":3.101,"height":129,"width":400,"src":"\/\/consultantsinabox.com\/cdn\/shop\/files\/aac9b8e3a9547b9be0c010e5d98d5979_49e3a7f6-ab2b-42eb-a8ef-80f75815af40.png?v=1719126994"},"aspect_ratio":3.101,"height":129,"media_type":"image","src":"\/\/consultantsinabox.com\/cdn\/shop\/files\/aac9b8e3a9547b9be0c010e5d98d5979_49e3a7f6-ab2b-42eb-a8ef-80f75815af40.png?v=1719126994","width":400}],"requires_selling_plan":false,"selling_plan_groups":[],"content":"\u003cbody\u003e\n\n\n \u003cmeta charset=\"utf-8\"\u003e\n \u003ctitle\u003eObsolete a Product | 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\u003eKeep Inventory Accurate and Lean by Automating Product Obsolescence\u003c\/h1\u003e\n\n \u003cp\u003eMarking a product as obsolete might sound like an administrative detail, but it’s a high-impact lever for operational efficiency. The feature that lets you set items as obsolete—so they’re removed from active catalogues and transactions—solves hidden complexity in inventory-heavy businesses. When done correctly, obsoleting products not only clears clutter from systems and warehouses but also improves forecasting, reduces carrying costs, and reduces risk across purchasing and accounting.\u003c\/p\u003e\n\n \u003cp\u003eModern platforms like Unleashed provide programmatic ways to change product status, and when you combine that capability with AI integration and workflow automation, the process becomes proactive instead of reactive. Rather than relying on spreadsheets and memory, organizations can surface candidates for obsolescence, validate them against business rules, and execute updates automatically with audit trails and stakeholder notifications.\u003c\/p\u003e\n\n \u003ch2\u003eHow It Works\u003c\/h2\u003e\n \u003cp\u003eAt a business level, automating product obsolescence is a three-step flow: identify, validate, and update. Identification collects data about sales velocity, stock levels, supplier lead times, margins, and seasonality to flag products that may no longer belong in the active catalogue. Validation applies business rules—like minimum inventory thresholds, open orders, warranty obligations, or regulatory holds—to ensure nothing critical is removed by mistake. Update is the operational step where the product is marked obsolete across the inventory system and downstream tools (e.g., e-commerce, accounting, and warehouse management), while retaining records for audit and reporting.\u003c\/p\u003e\n\n \u003cp\u003eThis flow is supported by role-based permissions and error handling so that only authorized people or systems can finalize obsolescence actions. The system keeps a clear audit trail showing who or what initiated the change, when it happened, and why. That trail is critical for finance teams reconciling stock values, for operations teams planning warehouse layouts, and for procurement teams negotiating supplier terms.\u003c\/p\u003e\n\n \u003ch2\u003eThe Power of AI \u0026amp; Agentic Automation\u003c\/h2\u003e\n \u003cp\u003eAI transforms obsolescence from a manual checklist into continuous, intelligent operations. Agentic automation—autonomous software agents that act on behalf of teams—adds a layer of decision assistance and execution capability that scales with business complexity. These agents don't replace humans; they amplify decisions, handle repetitive tasks, and surface exceptions that need human judgment.\u003c\/p\u003e\n \u003cul\u003e\n \u003cli\u003eContinuous monitoring: AI agents monitor sales, returns, and inventory turnover in real time to flag slow-moving or stagnant SKUs before they become a storage cost problem.\u003c\/li\u003e\n \u003cli\u003eIntelligent recommendations: Machine learning models suggest obsolescence candidates based on patterns across product families, regions, and channels—so teams can focus on exceptions, not spreadsheets.\u003c\/li\u003e\n \u003cli\u003eAutonomous execution: Workflow bots can follow approved rules to mark items obsolete, update pricing and listings, and notify finance and warehouse systems—reducing manual edits and the risk of missed steps.\u003c\/li\u003e\n \u003cli\u003eException handling: When rules conflict or edge cases appear (open sales orders, warranties, or regulatory holds), agents escalate via structured tasks and context-rich summaries so people can decide quickly.\u003c\/li\u003e\n \u003cli\u003eCross-system consistency: Agents reconcile changes across ERP, e-commerce, and warehouse systems, preserving data integrity and preventing orphaned SKUs or transaction errors.\u003c\/li\u003e\n \u003c\/ul\u003e\n\n \u003ch2\u003eReal-World Use Cases\u003c\/h2\u003e\n \u003cul\u003e\n \u003cli\u003eSeasonal clearance: An AI agent tracks seasonal SKU performance across channels. As demand drops, it recommends obsolescence for unsold winter items, updates inventory listings, and triggers promotions for remaining stock where appropriate.\u003c\/li\u003e\n \u003cli\u003eSKU rationalization after acquisition: Following an acquisition, a workflow bot compares the combined product portfolios, identifies duplicates and low-value SKUs, and prepares a staged obsolescence plan to simplify SKUs without disrupting open orders.\u003c\/li\u003e\n \u003cli\u003eSlow-moving spare parts: Manufacturers often carry hundreds of spare parts. Agents detect parts with multi-quarter low demand, validate warranty commitments, and mark excess items obsolete while ensuring parts with critical service obligations remain active.\u003c\/li\u003e\n \u003cli\u003eRecall and compliance management: If a product is under recall, automation immediately removes it from active listings, flags affected warehouses, and generates reports for compliance teams—saving time and reducing legal risk.\u003c\/li\u003e\n \u003cli\u003eCatalog clean-up for e-commerce: Merchandising bots identify products with zero web traffic and no transactions in a defined window, propose obsolescence, and follow a staged removal to avoid SEO or customer experience problems.\u003c\/li\u003e\n \u003c\/ul\u003e\n\n \u003ch2\u003eBusiness Benefits\u003c\/h2\u003e\n \u003cp\u003eAutomating product obsolescence creates measurable business efficiency across operations, finance, and customer experience. The combination of AI integration and workflow automation reduces manual work, improves decision quality, and scales governance as your catalogue grows.\u003c\/p\u003e\n \u003cul\u003e\n \u003cli\u003eTime savings: Teams reclaim hours previously spent on manual audits, status changes, and cross-system updates. Automations handle routine checks and mass updates while humans focus on exceptions and strategy.\u003c\/li\u003e\n \u003cli\u003eReduced errors: Consistent rules and automated execution reduce data entry mistakes and prevent situations where obsolete items remain available for sale or cause transaction failures.\u003c\/li\u003e\n \u003cli\u003eImproved forecasting and planning: With a cleaner active catalogue, demand signals are clearer and forecasting models perform better—helping procurement and finance make smarter purchasing and budgeting decisions.\u003c\/li\u003e\n \u003cli\u003eWarehouse optimization: Removing obsolete SKUs from active workflows frees up shelf space for faster-turning, higher-margin products and reduces picking complexity for fulfillment teams.\u003c\/li\u003e\n \u003cli\u003eFinancial accuracy: Accurate inventory status means more reliable balance sheets and better-informed depreciation and write-off decisions, reducing the risk of surprise adjustments at quarter-end.\u003c\/li\u003e\n \u003cli\u003eFaster cross-team collaboration: Automated notifications and task handoffs keep procurement, sales, and finance aligned—so everyone understands why an item was obsoleted and the impact on orders and revenue recognition.\u003c\/li\u003e\n \u003cli\u003eScalability and governance: As product portfolios expand, automated rules and AI agents enforce consistent obsolescence policies and maintain an auditable process that scales with business growth.\u003c\/li\u003e\n \u003c\/ul\u003e\n\n \u003ch2\u003eHow Consultants In-A-Box Helps\u003c\/h2\u003e\n \u003cp\u003eDesigning a reliable, accountable obsolescence automation requires both technical integration and operational change. Consultants In-A-Box blends implementation experience with workforce development to make the transformation stick. We start with a discovery phase to map your product lifecycle, stakeholder responsibilities, and integration points across inventory, ERP, and commerce systems. From there, we co-design obsolescence rules that reflect your commercial priorities—covering thresholds, exceptions, and staged retirement paths.\u003c\/p\u003e\n\n \u003cp\u003eNext, our team builds the automation: AI models to surface candidates, workflow bots to run validations and updates, and interfaces that present recommendations to business users. We prioritize explainability so every suggested action includes the key data points that drove the decision. Security and governance are embedded: role-based approvals, detailed audit logs, and rollback processes protect finance and operations from accidental changes.\u003c\/p\u003e\n\n \u003cp\u003eFinally, we support rollout and adoption. That includes scenario testing, training for users who will oversee exceptions, and operational playbooks that show how agents behave under common business conditions. We also help set KPIs—like reduction in manual updates, improvement in forecast accuracy, and inventory carrying cost changes—so you can measure the value of automation over time.\u003c\/p\u003e\n\n \u003ch2\u003eFinal Thoughts\u003c\/h2\u003e\n \u003cp\u003eAutomating product obsolescence is more than housekeeping: it’s a practical step toward digital transformation that delivers business efficiency and clarity. When AI agents continuously monitor product health, suggest data-driven retirements, and execute consistent updates across systems, companies save time, reduce risk, and free teams to focus on growth. The result is a leaner, more accurate catalogue, better warehouse utilization, and cleaner financials—outcomes that matter to operations, finance, and leadership alike.\u003c\/p\u003e\n\n\u003c\/body\u003e"}