Inventory Planning & Replenishment
A day-by-day simulation of stock at every depot, plant and component level. Planamind works out what to order and when, sizes safety stock to each item's service level with Ana's help, and shows where stock can move instead of being bought again.
Too much of the wrong stock, not enough of the right stock.
Excess and stockouts usually sit side by side, because buffers, orders and transfers are set by rule of thumb rather than by the numbers.
The same buffer for everything
High-value A items and long-tail C items get the same days of cover, so working capital is tied up where it isn't needed and thin where it is.
Buying what you already own
One location runs short while another sits on excess, and a new order is raised instead of moving the stock.
Expiry found too late
Short-shelf-life stock is ordered in the wrong quantities and write-offs are discovered after the fact.
Five capabilities, one replenishment plan.
Replenishment runs on the agreed demand plan in the same workspace, and its results flow into materials, freight and the P&L.
Every day, every location, every tier
Planamind simulates stock day by day from depots to plants to components, using stock on hand by batch, stock in transit and open customer orders. Orders are sized to cover safety stock and the order cycle from the day they arrive, then rounded to minimum order quantities and whole pallets. Every item-location is marked as stockout, at risk or healthy.
The right buffer for each item, suggested by Ana
Items are classified A, B or C by units or value, and each class gets its own service level. Ana suggests safety stock in days of cover from the service level, how far the forecast typically misses for that item, and its lead time. Apply one suggestion or many at once, or let the formula recalculate safety stock on every run.
Move stock before you buy more
Within groups of locations you define, Planamind plans transfers from locations with excess to those running short. When supply can't cover everyone, it allocates proportionally, by fair share or by priority. A location map shows the transfers at a glance.
Plan short-shelf-life stock batch by batch
Stock is used earliest-expiry-first, batch by batch, and shelf life caps how much is ordered. The plan shows projected write-offs before they happen, highlights batches expiring within 90 days, and groups stock by weeks of cover.
Planners stay in control, and finance sees the value
Planners can override or cancel any suggested order, add a note and mark it reviewed, and the plan updates to match. An ROI report shows working capital released, inventory reduced, sales recovered, ROI and payback.
- Build full vehicle loads from the plan with freight planning
- A single Excel supply workbook: stock, in transit, open orders, parameters and BOM
- Custom filters on any column, saved privately or shared
Excess and shortages, caught while there's still time to act.
Ana compares every buffer with what the numbers say it should be, and flags where capital and service are at stake.
Safety stock can be safely reduced
An A-class item carries far more cover than its forecast error and lead time require. Applying Ana's suggestion frees up working capital without adding service risk.
Promotion window before expiry
A product in the North is carrying excess cover with batches expiring within 90 days. A promotion is recommended to clear it in time.
Illustrative examples
The story behind the numbers, written for you. Any other view, built by you.
Planamind turns planning data into decisions: AI-written reviews that explain what changed and where to act, and reporting tools that let planners, finance and leadership answer their own questions without waiting for IT.
A written review of the month, ready before the meeting
Ana writes the commentary: demand changes, explained and unexplained anomalies, promotions and mix shifts, stock position, and the impact of weather, the economy and competitors. It ends with where to intervene by SKU and location, plus the opportunities and risks to year end. Download it as a branded PDF.
Prioritised actions on revenue, stock and accuracy
Revenue gap, stock health and forecast accuracy each come with Ana's analysis and a prioritised action list. The revenue gap view adds best- and worst-case scenarios for closing the gap to AOP, and accuracy diagnostics explain in plain English why the forecast missed.
Build your own view, no analyst needed
Drag and drop demand and supply data into a pivot: choose rows, columns and filters, switch to charts, add your own formula columns, and save views for yourself or the whole project. Export any view to Excel, or pick from around 18 ready-made reports.
Ask a question in plain English
On every screen, ask Ana about demand, accuracy, supply, freight, promotions, finance or a single SKU. She answers from your live data and only shows each user the products and locations they are allowed to see.
Leaner inventory, better availability.
Optimising inventory management for a leading fashion retailer
How automated inventory management improved fill rates and sales performance.
Read the case study →Supply chain efficiency for a Fortune 500 consumer products company
Streamlined processes, better accuracy and tighter inventory control, delivering cost reductions.
Read the case study →One plan from forecast to freight.
Inventory planning sits between the forecast and everything that follows it.
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.
No commitment · No procurement process required