Life Sciences Supply Chain Planning

Life sciences planners hold stock for patients who cannot wait, against expiry dates that do not move. DemandLabs sets buffers by service target and remaining shelf life, and maps the suppliers behind each critical input.

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Solutions for Life Sciences

The DemandLabs applications that fit life sciences planning, and how each one handles it.

Service targets are set by product family and market, and DemandLabs shows the inventory each target needs before you commit. Stock near its expiry date is flagged while it can still move.

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Forecasts are backtested against your own history before go-live, and each planner override is scored against the model.

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Suppliers of critical inputs are scored on financial filings, news and port data, and tier 2 sources are mapped where your data allows.

Explore supplier risk

Line capacity, changeovers and material lead times solve together, and each late order traces to its cause.

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How Life Sciences Planning Connects

A batch plan, the inputs behind it and the stock it creates share one model with the market forecast.

Demand

Market Forecast

Contracts and tenders
Launches
Patient demand

Supply

Batch Plan

Line capacity
Changeovers
Release lead time

Materials

Critical Inputs

Active ingredients
Components
Packaging

Inventory

Network Buffers

Service targets
Expiry dates
Market stock

Finance

Portfolio P&L

Revenue by market
Write-off risk
Cash

Built for Life Sciences

Life sciences planning weighs service to patients against stock that expires.

Expiry in the Plan

Expiry dates feed the aging view, so stock close to its date is flagged while it can still move.

Service Targets by Market

Targets can be set by product family, market or node, and DemandLabs shows the inventory each one needs.

Critical Inputs Mapped

Tier 2 and tier 3 dependencies are mapped where your data allows, so a single source of a critical input is visible early.

Backtests Before Go-Live

Models are tested against your own history and your current method before planners rely on them.

Life Sciences Segments

How life sciences planning differs by segment, with the applications that fit each one.

Pharma and Biotech

Batches, market packs and expiry on one plan.

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Medical Devices

Consignment stock and size ranges planned by hospital.

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Medical Supplies

Contract volumes planned against ocean lead times.

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Medical Equipment

Capital orders, long-lead parts and service stock.

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Planning Notes for Life Sciences

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Execution

A temperature excursion is an inventory event and your planning system never hears about it

Cold chain management as an inventory problem: writing an excursion to the batch status planners read, mean kinetic temperature, and FEFO with a tolerance.

19 August 202610 min read

Inventory

Where to hold the buffer, once you accept you cannot hold it everywhere

Multi-echelon inventory optimization stops every node buffering the same variability: guaranteed service, stochastic service, and the inputs that decide it.

23 August 20269 min read