Solutions · MRP & Procurement · Powered by Planamind

MRP & Procurement Planning

Explode the agreed supply plan through every level of your bills of materials. Planamind plans components and raw materials in the same daily simulation as finished goods, with lead times, minimum order quantities, expiry and safety stock built in.

Why material plans break

Material shortages start as planning gaps.

When MRP runs separately from the demand and supply plan, purchasing works from yesterday's numbers and shortages surface on the shop floor.

01

MRP on a stale plan

Material requirements are calculated from a forecast that has already changed, so purchase orders are out of date the day they are raised.

02

Complex recipes, simple tools

Multi-level BOMs, plant-specific recipes and batch sizes are hard to handle in spreadsheets, and mistakes compound at every level.

03

Components treated differently

Finished goods get safety stock and expiry rules, but components and raw materials are planned with rough averages.

How Planamind plans materials

Four capabilities, one material plan.

Materials are the third tier of the same daily supply simulation, so every change to demand or supply flows straight through to components and purchasing.

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01 · Multi-level BOM

Every level of every recipe, checked at upload

Upload bills of materials with quantity per unit, batch size and plant-specific recipes. Planamind handles any number of levels, from finished good to sub-assembly to raw material, works out each item's level automatically, and blocks circular BOMs before they can corrupt the plan.

Where usedA raw-material-to-finished-good view shows which products depend on each component, so a supply problem can be traced to the sales it puts at risk.
BOM levelsUnlimited
Plant-specific recipesSupported
Circular BOMsBlocked at upload
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02 · Requirements from planned orders

Materials planned from what you will actually make

Planamind explodes planned orders, not just the forecast, through the BOM at each location, and adds spare-part demand for components on top. Components then get the same treatment as finished goods: stock in transit, lead times, safety stock, expiry, minimum order quantities and rounding.

AI · Ask AnaAsk Ana which components are heading for a shortage, or why an order is bigger than the requirement, and she answers from the live plan.
Exploded fromPlanned orders
Spare-part demandAdded on top
Component rulesLead time · SS · MOQ · expiry
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03 · Procurement & production orders

Suggested orders, labelled by type

Every suggested order is labelled as purchase, production, semi-finished or distribution, with lead times set for each item and location. Planners can override or cancel an order with a note, and a multi-tier cascade report shows how requirements flow from finished goods to raw materials.

Planner controlOverrides feed straight back into the plan, and every review carries a note so the team knows why a quantity changed.
Order typesPurchase · Production · SFG · Distribution
Lead timesPer item-location
Cascade reportFG → RM
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04 · Shortage visibility

See shortages across the whole planning horizon

Component and raw material stockouts are projected across a 30, 60 or 90-day horizon and collected in a single Needs Review list, alongside forecast issues and upcoming promotions, so nothing is missed between teams.

AI · Stock healthAna's Stock Health analysis ranks the actions that protect service and release working capital first.
Horizon30 · 60 · 90 days
ShortagesIn Needs Review
DiscussionComments · tasks · @mentions
Also built in
  • Batch and expiry tracking for components, used earliest-expiry-first
  • Scenario projects that copy BOMs and supply data for what-if planning
  • Alternate components recorded against each BOM line
Ana in action

Material questions, answered from the live plan.

Planners ask Ana in plain English and get answers grounded in the current simulation.

Needs review

Raw material heading for a stockout

A packaging component at Plant 2 falls below requirement within the horizon. Ask Ana which finished goods are affected and what order is already planned.

Ask Ana

"Why is this order bigger than the requirement?"

Ana walks through the requirement, minimum order quantity, batch size and rounding that produced the number.

Illustrative examples

What planning teams gain
10–20%Inventory reduction
50–80%Order-loss prevention
5–20%Working capital freed
48hFrom your data to first live plan
AI insights & self-service reporting

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.

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AI · Monthly Review

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.

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AI · Ana's Analysis

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.

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Self-service · Custom analysis

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.

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AI · Ask Ana

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.

Client stories

Resilient material planning in practice.

Case study · Automotive

Building a resilient supply chain for automotive

How advanced planning optimised operations and drove efficiency.

Read the case study →
Case study · Kids' products

Driving efficiency for a leading kids' products brand

How better planning optimised operations for a leading Indian baby products brand.

Read the case study →
Live · no slides · this week

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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