The challenge

Pharma supply chains are too complex for human intuition alone

Pharmaceutical supply chains involve thousands of interdependent decisions. The complexity grows exponentially, beyond what any human can grasp.

What do we need decision intelligence for?

To answer complex questions that are very difficult to solve optimally with traditional planning methods:

Global pharmaceutical network with interconnected sites
01 · Network

Which site transfers would lead to optimal service levels and minimize delay risks?

02 · Launch

How do I set production targets for the market entry of new drugs?

03 · Resilience

How do I steady my network against the impact of tariffs?

Why are these questions difficult to answer?

Complexity grows exponentially with network size and scenarios, making things difficult for humans.

Consider a "simple" planning problem: 5 products, 4 production sites, 120 planning periods, 5 scenarios, and 10 configurations. Even this modest setup creates over 120,000 decisions, each affecting the others.

A human planner, even with spreadsheets and experience, can only evaluate a handful of scenarios. Critical trade-offs are missed. Costs accumulate. Risks go undetected.

tulanā's optimization engine evaluates thousands of scenarios simultaneously, finding optimal decisions across hundreds of thousands of variables and constraints, in minutes, not months.

Try it: scale a planning problem

Products
5
Production sites
4
Planning periods
120
Scenarios
5
Configurations
10
Decisions to evaluate
120,000
Beyond a planner's reach
tulanā: ~minutes
products × sites × periods × scenarios × configurations
Solutions

Pharmaceutical use cases

Our Decision intelligence platform addresses the most complex challenges in pharmaceutical supply chain management.

Capacity planning and network optimization
01

Capacity planning & network optimization

Optimize your entire value chain with proactive resilience.

Plan your entire supply network over 5 to 10 year horizons. From API synthesis through formulation, packaging, and distribution, while accounting for demand uncertainty, new drug launches, regulatory approvals, and capacity investments.

Supply planning and production scheduling
02

Supply planning & production scheduling

Maximize throughput while maintaining compliance.

Determine optimal production quantities, batch sizes, and scheduling sequences across multiple facilities. Account for setup times, changeover costs, equipment qualifications, and cGMP requirements.

Inventory optimization and safety stock planning
03

Inventory optimization & safety stock planning

Reduce waste from expiry while ensuring availability.

Optimize safety stock levels, reorder points, and inventory positioning across your network. Balance service level targets against carrying costs while respecting shelf-life constraints and cold chain requirements.

Constraints

Constraints we model

Our platform captures the full complexity of pharmaceutical operations.

Multi-stage production

Bills of materials, API synthesis, and formulation variants.

Guarantee that your production is optimized end to end.

Capacity & trade

Manufacturing limits, tariffs, and trade regulations.

Be prepared for sudden shifts in global supply dynamics.

cGMP & compliance

Process validation, equipment qualifications, and audits.

Ensure compliance is built into every decision.

Shelf life & cold chain

Expiry windows, cold-chain segments, and lead times.

Rest assured that all constraints are modeled together.

Let's connect

Would you like to see what this looks like in practice?

Get in touch with our team and discover how Decision intelligence can transform your operations.

contact@tulana.io