From the first launch to ongoing market access operational execution, IntegriChain solves some of the most complex and pressing challenges associated with drug commercialization. We deliver pharma’s only comprehensive data, consulting, and business process platform for market access departments, providing the strategy, data, applications, and infrastructure for therapy commercialization.
Solutions overview
IntegriChain delivers the pharmaceutical industry’s largest and only data and business process platform for therapy commercialization and access. Manufacturers rely on our analytics, applications, and managed services to power their operations and harness the value of their channel, patient and payer data.
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IntegriChain provides a complete set of professional services for commercialization and market access execution–from life science strategy and operational consulting to implementation, integration, migrations, and analytics.
Services overview
We help all stakeholders in the pharmaceutical industry drive access with our relentless focus on unifying all of the critical business functions for therapy commercialization and access – contracts & pricing, gross-to-net, channel, and patient services – to unlock strategic payer, provider, pharmacy and patient access insights.
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Learn more about joining our growing IntegriChain team of data scientists, market access experts, analysts, and consulting professionals – our culture, our purpose, our teams in the US and Pune. Check out our careers or keep in touch for future opportunities.
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One of the industry’s persistent challenges is to accurately estimate the inventory pipeline used within several GTN lines because there is no data source that can count the remaining products in pharmacy inventories at a month, quarter or year end. Inventory Analytics provides the industry’s only comprehensive data-driven methodology based on unprojected data to value inventory in the downstream channel.
Tighten Returns Reserves: Tie returns reserves to an accurate and up-to-date measurement of total retail inventory.
Explain Channel Impacts on Quarterly Results: Quantify how retail channel inventories impacted corporate sales results in the preceding quarter, improving investor clarity on the true direction of demand.
Improve Order Forecast Accuracy: Incorporate retail inventories into order forecast models; improving the net accuracy of weekly order management and quarter/year-end sales forecasting
Explain Disconnect Between Rxs and Factory Sales: Clarify how projection errors in syndicated data are causing disconnects between reported Rx demand and factory sales; develop factors to adjust Rx demand and improve demand forecast accuracy.
Optimize Demand Planning: Provide supply chain partners more accurate forecasts by SKU, improving overall product availability and allowing tighter pharmaceutical inventory management.
Inventory Analytics empowers teams to align around a shared and accurate view into total pipeline inventory. Our partnership with PurpleLab enhances our ability to deliver true demand and inventory visibility, more accurate gross-to-net forecasting and accruals, and most importantly data-driven commercialization for specialty products to Pharma commercial and financial teams.
Based on actual sell-in, returns, and point-of-sale data, Inventory Analytics gives a weekly report of retail inventories on hand at an individual SKU level. Inventory Analytics captures 100% of the inventory located in chain distribution centers, chain stores, independent stores, and third-party morgues that house products not yet returned to the manufacturer or wholesaler.
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This case study focuses on a pharmaceutical manufacturer who was struggling with both inconsistent channel data as well as the lack of visibility into downstream inventory.
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It’s no secret that life sciences supply chains contain massive amounts of data. This can be advantageous for manufacturers who want to establish an analytical edge and gain insight into their inventory management pipeline. The volume of data can also present its own set of challenges, due to increasing supply chain complexity and the difficulties for manufacturers to estimate downstream inventory levels on their own.
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