Pharma and Life Sciences

We embed intelligence across clinical, operational, research, and regulatory workflows, so organisations can operate from a connected view and deliver more predictable outcomes. 

Industry challenges

Pharmaceutical, biotech, and medtech leaders are pushing to shorten time-to-market while meeting tighter, fast-changing regulations. Yet information is often split across R&D, clinical, quality, manufacturing, and partners—creating blind spots that slow submissions, limit safety monitoring, and weaken decision-making. Trials are harder to run, oversee, and scale, and supply chains face volatility, serialization demands, and cold-chain risk.

Leading organisations are modernising core platforms, unifying data, and automating regulated workflows to improve patient safety, speed approvals, and raise service levels. The aim: a compliant, insight-led enterprise that can innovate quickly, manufacture reliably, and respond faster to markets and patients.

01

Managing regulatory compliance expectations

02

Investing in research and development

03

Integrating data management systems

04

Complying with Good Manufacturing Practice (GMP) standards

05

Overseeing complex supply
chains

06

Product Traceability

Capabilities

Inventory and order optimization supports new product introductions

Determine order lead times with advanced algorithms that assess optimal inventory levels at each node of the supply chain based on customer order history. What-if analysis helps you plan inventory for new product introductions, including lead times for regulatory approvals.

Distribution planning and order optimization support a wide range of planning activities

Blue Yonder supply planning and order optimization generates distribution plans that respect shelf-life constraints and alternate sourcing compliance by market; tracks and manages date-sensitive inventory; understands bulk requirements from bottom-up replenishment; and supports new distribution models such as direct-to-pharmacy and direct-to-hospital.

Warehouse management automatically schedules work activities

Manage the flow of raw materials, work-in-process, and finished goods inventory across internal distribution networks. The system automatically assigns each worker to the most productive task based on order priorities, proximity to inventory, and the equipment and certifications of each worker. Efficiency can be enhanced with RFID devices, voice picking, and pick-to-light automation.

Next-generation Control Towers

Network-wide visibility and orchestration for a continuously updated, shared version of end-to-end operations. Visualize the flow of orders, inventory and capacities – across the enterprise and partners – production, logistics, demand, supply, and space. Leverage intelligence to derive a coordinated response.

Streamline decision-making when demand and supply planning are one

With superior decision-making speed and precision, life sciences companies can control costs, ensure timely availability and increase inventory turnover in the face of volatility. 

Business Impact

Faster submissions, fewer approval delays

Single source of truth across R&D, clinical, quality, and manufacturing cuts rework and gaps in evidence. Regulatory responses become quicker, with fewer cycles lost to missing or inconsistent data.

Inspection-ready compliance, always

Standardised controls, traceable records, and clean handoffs reduce audit scramble and compliance drift. Risk drops, and teams spend less time proving work and more time doing it.

Reliable supply for critical therapies

Visibility from supplier to batch to distribution improves service levels and reduces stockouts, recalls, and cold-chain exceptions. Patients get continuity; operations get predictability.

Lower cost per batch and per trial

Reduced manual effort, fewer deviations, and tighter planning shrink waste across trials and production. The result is measurable savings without compromising quality.

Success Stories

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