Demand & Supply Chain Planning for Pharma
Plan thousands of SKUs across a distributed network while managing expiry, tenders, product transitions and ingredient supply. Planamind brings demand, supply and materials into one plan for pharma manufacturers and distributors.
What makes pharma & healthcare planning hard.
Pharma supply chains combine long lead times, strict shelf lives and volatile demand from tenders and new launches.
Large SKU portfolios
Thousands of products, each with its own demand pattern.
Product expiry
Batches expire in the channel while other markets run short.
Product transitions
Launches, generics and substitutions shift demand between products.
Tender volatility
Wins and losses change demand overnight.
Distributed networks
Stock sits in the wrong depot or country.
API and material shortages
Ingredient supply problems stop production.
Built for how pharma & healthcare businesses plan.
Demand, supply, materials and finance in one workspace, with Ana on every screen.
Expiry risk managed before it becomes a write-off
Stock on hand is tracked by batch and expiry and used earliest-expiry-first in the daily simulation. Shelf life caps order sizes, and batches expiring within 90 days are highlighted.
Launches and substitutions without guesswork
Map the history of a predecessor product to its successor with a configurable share and overlap, so product transitions and new presentations start with a grounded forecast.
Tenders in the plan before they land
Add tenders and new business as pipeline opportunities, weighted by win probability, and phase them as a one-off or a ramp. Supply and finance plan for them automatically.
The right stock in the right market, with ingredients to match
Transfers move stock from locations with excess to those running short, with proportional, fair-share or priority allocation when supply is tight. Multi-level BOMs plan ingredients and packaging from planned production.
The right intervention, at the right moment.
Planamind flags what needs a decision, and Ana explains the numbers behind it.
Excess cover in one market
A product carries excess cover with batches expiring within 90 days, while another depot is running short. A transfer is planned before a new order.
Revenue behind AOP
The revenue bridge shows the gap is mostly volume, and Ana lists the forecast and channel actions for review.
Illustrative examples
Pharma & Healthcare planning with Anamind.
“We saw it as a fantastic collaborative planning tool that could not only forecast but also drive consensus from top to bottom cut across functions.”
Pharmaceutical company optimises demand planning
Better efficiency, accuracy and inventory management, leading to cost savings and improved performance.
The planning capabilities behind this page.
See your own plan, live, in 48 hours.
Send your last 24 months of data and we'll run your numbers, with a 60-minute readout in 48 hours. If we don't beat what you have today, you walk away with the export.
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