The Challenge
Before Unframe, order entry was a manual bottleneck. Nutrisens processes approximately 600 customer orders through its business to business arm - hospitals, nursing homes, pharmacies, and healthcare facilities submitting requests via email using inconsistent formats, outdated product codes, and fragmented information. Philippe's operational team manually re-entered each order into the ERP system, spending 5 to 15 minutes per order.
The work was error-prone. Customers reference products by old codes, use abbreviations for delivery sites, or specify quantities in non-standard formats. These mismatches pose patient-safety risks: a mistake in product type, texture, or frozen/fresh status can affect patient care. The manual process consumed 5 full-time equivalents on data entry alone, making it difficult to track and correct errors as they occurred.
As Nutrisens accelerated international growth, the process became increasingly difficult to scale. Philippe wanted to find a way to automate the routine work and free the team to focus on accuracy and customer relationships.
The Solution
Unframe partnered directly with Philippe's team to automate order entry while preserving Nutrisens' existing ERP and operational structure.
The solution connects directly to customer email, automatically extracting and structuring order data, validating product matches against Nutrisens' catalog and business rules, and routing validated orders directly into the ERP without manual re-entry. The system learns Nutrisens' product matching logic: which customer codes map to which products, how delivery sites are referenced, unit conversions, and the critical safety distinctions (texture types, form variations) that affect patient care.
Rather than automating everything, the platform surfaces ambiguous or non-standard orders to Nutrisens' operators for review and correction. This human-in-the-loop approach preserves accuracy where it matters most: patient-safety-critical decisions.
The platform integrated seamlessly with Nutrisens' existing systems without disruption, providing real-time visibility into order status and processing queue.
The Impact
By automating manual data entry and reconciliation, Unframe helped Nutrisens reduce operational overhead while improving order accuracy. The team shifted from data-entry work to order verification, customer support, and exception handling. With the system handling routine order processing, the operational team focused on accuracy validation for high-risk orders and customer relationship management.
Validated orders now move directly to fulfillment without manual re-entry. The reduction in manual labor and keystroke errors strengthened data reliability, particularly for safety-critical product attributes.
Beyond time savings, the solution expanded operational capacity. Nutrisens gained the ability to absorb growth from international expansion and organic volume increases without hiring additional order-entry staff.
The approach aligned with Philippe's growth goals: supporting a mission to serve more patients without proportional headcount inflation.
Building Toward Broader Transformation
For Philippe, this project is only the beginning.
His long-term vision for Nutrisens is to apply similar AI-driven automation across R&D, Supply Chain, Finance, Sales, and Support. The team has already scheduled discovery sessions to identify high-impact use cases in each department. Unframe serves as the strategic partner guiding each discovery and implementation, building on the foundation established with order entry automation.
What used to require constant manual oversight now updates automatically. As Philippe puts it, this is just the start.
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