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Data flow: Microsoft Dynamics ? Productsup
Use Microsoft Dynamics as the operational source for core product, pricing, inventory, and customer-specific commercial data, then send that data to Productsup for channel-specific enrichment and syndication. This is especially useful when finance, sales, or operations teams maintain authoritative item records in Dynamics while marketing and e-commerce teams manage channel optimization in Productsup.
Business value: Reduces manual rekeying, ensures product data consistency across channels, and speeds up time to market for new products or price changes.
Data flow: Microsoft Dynamics ? Productsup
When stock levels, pricing, or promotional pricing change in Dynamics, push those updates into Productsup so marketplace and comparison shopping feeds always reflect current commercial conditions. This is critical for retailers and distributors selling through channels where stale pricing or out-of-stock listings can cause lost sales or compliance issues.
Business value: Prevents overselling, improves feed accuracy, and supports faster reaction to margin or inventory changes.
Data flow: Productsup ? Microsoft Dynamics
After Productsup enriches titles, descriptions, attributes, and channel-specific content, send approved content back to Dynamics so sales, customer service, and account teams can view the same optimized product information used externally. This helps internal teams answer customer questions consistently and understand how products are presented across channels.
Business value: Improves cross-team alignment, reduces conflicting product messaging, and gives customer-facing teams better product context.
Data flow: Microsoft Dynamics ? Productsup
When a new SKU is created and approved in Dynamics, automatically create or update the corresponding product record in Productsup for channel preparation. Productsup can then apply channel rules, validate required attributes, and distribute the item to marketplaces, ad platforms, and retail partners once ready.
Business value: Shortens onboarding cycles, reduces launch errors, and creates a controlled workflow from operational setup to channel activation.
Data flow: Productsup ? Microsoft Dynamics
Feed channel-level performance metrics such as impressions, clicks, conversion indicators, and feed error trends from Productsup into Dynamics dashboards or reporting models. Sales and operations leaders can then compare commercial performance against inventory, pricing, and margin data already stored in Dynamics.
Business value: Enables better pricing and assortment decisions, improves visibility into channel ROI, and supports data-driven planning across teams.
Data flow: Bi-directional
Use Dynamics customer, account, or segment data to determine which product assortments, pricing rules, or content variations should be published through Productsup for specific channels or partners. In return, Productsup can provide channel publication status and content readiness back to Dynamics for account management teams.
Business value: Supports account-specific selling strategies, improves partner execution, and helps sales teams understand what is live for each customer or channel.
Data flow: Productsup ? Microsoft Dynamics
Send enriched product descriptions, specifications, images, and channel-approved content from Productsup into Dynamics Service or Sales modules so support agents and account managers can reference the same content customers see online. This is particularly useful for complex products where accurate attributes and imagery reduce case handling time.
Business value: Reduces service resolution time, lowers customer confusion, and improves the quality of customer interactions.
Data flow: Productsup ? Microsoft Dynamics and Microsoft Dynamics ? Productsup
When Productsup detects missing attributes, invalid values, or channel validation errors, send exceptions back to Dynamics for master data correction by the responsible business team. Once corrected in Dynamics, the updated data can flow back into Productsup for revalidation and republishing.
Business value: Establishes a closed-loop data quality process, reduces manual troubleshooting, and improves governance across product, finance, and e-commerce teams.