Turn pharmacy sales into an AI-informed purchase plan. Apply your business conditions. See what to order, how much, and why.
For pharmacy retailers, chains & distributors
Pack rounding applied. Your team reviews the PO.
Independent pharmacies
Retail chains
Distributors & stockists
Purchase teams
Give your purchase team a shared view of demand, stock and the conditions behind every order.
Sales history feeds the forecasting models. Your inventory and business rules turn the demand estimate into a purchase recommendation.
Upload branch sales, current inventory and product data. Choose the period and categories that reflect the purchase decision you want to make.
Move the stock slider. Change the forecast or cover days. See how your conditions change the purchase recommendation.
Sample item · Oral rehydration sachets
All quantities shown in packs.
Available stock is below your minimum. Order the difference between maximum stock and available stock.
Illustrative forecasts and sample data. This walkthrough calculates purchasing rules locally; it does not run live AI models or place orders.
ABC priority
Min–max cover
Available stock
Pack rounding
Core status
On-Demand rules
Bring analysis, purchasing conditions and order preparation into one focused workspace.
Run sales history through forecasting approaches such as Croston and Synth-AI / MLP. Use the selected demand estimate with stock and replenishment rules to prepare a reviewable PO.
ABC classification, Core and Universal Core indicators bring product priorities into view.
Illustrative, configurable shares.Set sales periods, monthly weights and cover days. Apply outlier controls and item-level min–max overrides.
Review stock cover, replenishment needs, excess inventory and products without sales before committing to a purchase.
Work across Auto Indent, On-Demand and Manual modes. Inspect pack quantities and costs, combine saved POs and export your order.
From the pharmacy counter to the procurement desk, start with a clearer view of demand.
Use each branch’s sales, stock and product priorities to prepare purchase recommendations. Give store and central purchase teams the same explanation behind each quantity.
Historical sales are used by forecasting models to estimate demand. The selected estimate is then combined with your purchasing conditions, stock position and pack sizes to prepare a PO recommendation. Your team reviews the recommendation before ordering. Model suitability should be validated on your data.
Sales windows and weights, ABC shares, minimum and maximum cover days, product priorities and outlier thresholds shape the purchase plan. Item-level overrides and separate On-Demand and Manual modes accommodate exceptions.
Sales history and current stock are the starting point. Product master data supports pack and pricing details; Core Status, On-Demand and min–max override files add your business-specific rules. File formats and field mappings are checked during setup.
The workflow prepares recommendations and purchase-order exports for your team to review. Generating or downloading a PO is separate from sending it to a supplier or warehouse.
Distributors and stockists are a primary target audience alongside retailers. A discovery session maps your sales, stock and replenishment conditions to the workflow. Supplier allocation, lead-time handling and warehouse-specific integrations are scoped separately.
Discover AI-assisted purchase planning with InMedoc.