Industries · Powered by Planamind

Supply Chain Planning for Every Industry

One planning platform and a team with 50+ years of combined planning experience across food and beverage, pharma, consumer goods, automotive, chemicals, fashion, home and kids' categories.

Automotive & Spare Parts

Spare Parts & Inventory Planning for Automotive

Plan thousands of low-volume, high-value parts across a distribution network. Planamind forecasts intermittent demand, sizes stock to service levels, and plans material and supplier requirements for manufacturers and distributors of parts and tools.

The challenges
  • Low-volume, high-value parts. Lumpy demand that averages badly.
  • Slow movers. Stock that sits for months while other parts run out.
  • New product introductions. Superseded and new part numbers with no history.
  • Price fluctuations. Cost and price changes that shift demand.
  • Tight delivery timelines. Missed deliveries become lost sales.
  • OEM and supplier dependencies. Minimum orders and long lead times.
How Planamind helps
Intermittent demand

Forecasts built for lumpy demand

Croston's method for intermittent demand competes with eleven other models on every part, and the best fit is selected automatically. Accuracy recommendations flag high-value parts where a different model would do better.

AI · Accuracy diagnostics Ana explains in plain English why a forecast missed and what drove the error.

Multi-location inventory

The right part at the right branch

The daily simulation plans stock across depots and branches, with transfers from excess to shortage and service levels by ABC class.

AI · Safety-stock suggestion Ana suggests safety stock for each part from its forecast error, service level and lead time.

Supersession

New part numbers with a real baseline

Map the history of a superseded part to its replacement with a configurable share and overlap, so new part numbers start with a grounded forecast.

Suggested predecessors Planamind suggests likely predecessor parts, so planners don't have to search the catalogue by hand.

Materials & suppliers

Supplier limits built into the plan

Multi-level BOMs, spare-part demand for components, supplier lead times and minimum order quantities are applied to every order, and suggested orders are labelled by type.

AI · Ask Ana Ask Ana why an order is bigger than the requirement, and she walks through the MOQ and rounding behind it.

Case study · Automotive

Building a resilient supply chain for automotive

How advanced planning optimised operations and drove efficiency.

Read the case study →
Chemicals & Paints

Demand & Inventory Planning for Chemicals & Paints

Improve product availability while cutting inventory bloat. Planamind plans seasonal and slow-moving ranges, promotions and branch-level decisions across the whole value chain for manufacturers, wholesalers and distributors.

The challenges
  • Seasonal markets. Painting seasons and weather drive demand peaks.
  • Promotions and events. Campaigns and dealer schemes distort demand.
  • New products. Shade and pack launches with no history.
  • High channel inventory. Stock builds up in depots and dealers.
  • Manual replenishment. Branch orders raised by hand in spreadsheets.
  • Customer projects. Large project orders that history can't predict.
How Planamind helps
Seasonal forecasting

Seasons and weather in the forecast

Seasonal models compete on every shade and pack, and historical and seasonal weather data can be applied to the forecast. Outlier checks catch months distorted by stockouts.

AI · Monthly Review Ana explains demand changes, anomalies and weather impact, and flags opportunities and risks to year end.

Projects & opportunities

Customer projects in the plan

Add customer projects and large orders as opportunities weighted by win probability, on top of the baseline, so supply is ready when they land.

Flows downstream Opportunities feed supply and finance automatically, viewed as weighted, best case or committed.

Promotions & schemes

Promotions measured on net lift

Plan promotions at any level, with suggested discounts from price elasticity, and measure what they really delivered after forward-buying and cannibalisation.

AI · Promotion assessment Ana scores each promotion out of 10 and writes a post-mortem once it closes.

Automated replenishment

Branch replenishment without the spreadsheets

The daily simulation suggests orders for every branch and depot, sized to safety stock, order cycle and minimum quantities, and plans transfers from excess to shortage.

AI · Safety-stock suggestion Ana flags where branch buffers are excessive or too lean, with single or bulk apply.

“Asian Paints International Business was conducting demand forecasting centrally for all the units across different countries. There was a need to decentralize the demand planning exercise and enable each unit. The interface is user friendly and intuitive which was a plus point considering personnel with different backgrounds are using it in different countries.”

Asian Paints · Planning System Implementation
Case study · Chemicals & paints

Paints company achieves demand planning agility

Better efficiency and leaner inventory for a global paints enterprise.

Read the case study →
Fashion & Retail

Merchandise & Replenishment Planning for Fashion & Retail

Keep large assortments available across stores, warehouses and online without the excess. Planamind forecasts every SKU and location, balances stock between stores and DCs, and plans promotions around holidays and local events.

The challenges
  • Complex assortments. Thousands of SKUs across categories and sizes.
  • Store-level base stock. Getting the right stock into every store.
  • Promotions and offers. Consumer promotions that distort demand.
  • Stock balancing. Excess in one store, empty shelves in another.
  • Long lead times. Buying decisions made months ahead.
  • Misaligned plans. Merchandising and supply plans that don't match.
How Planamind helps
SKU-store forecasting

A forecast for every SKU in every location

Twelve models compete on every item-location, and the best fit is selected automatically, with holidays and events flagged for planning.

AI · Monthly Review Ana explains demand changes and mix shifts, and names where to intervene by SKU and store.

Store & DC balancing

Stock where the customers are

Transfers move stock from stores or DCs with excess to those running short, and allocation rules split scarce stock proportionally, by fair share or by priority.

AI · Stock health The Stock Health view shows where to move stock instead of ordering more, with Ana's prioritised actions.

Promotions & markdowns

Promotions and clearance with evidence

Suggested discounts come from price elasticity, promotions are measured on net lift, and overstock triggers recommended clearance promotions.

AI · Promotion assessment Ana scores each promotion out of 10 on lift realism, supply, ROI and timing.

Automated replenishment

Orders in minutes, not days

The daily simulation suggests replenishment orders sized to safety stock, order cycle, minimum quantities and pack rounding, and planners review them in one screen.

AI · Safety-stock suggestion Ana suggests buffers for each item from forecast error, service level and lead time.

Case study · Fashion & retail

Optimising inventory management for a leading fashion retailer

How automated inventory management improved fill rates and sales performance.

Read the case study →
Home & Interiors

Demand & Supply Planning for Home & Interiors

Manage large assortments, imported materials and spare parts across a global supply chain. Planamind unifies forecasting, replenishment and material planning for home and interior brands and manufacturers.

The challenges
  • Large assortments. Collections, finishes and sizes multiply SKUs.
  • Imported raw materials. Long, variable supplier lead times.
  • Spare parts and service. After-sales demand planned separately.
  • Different lead times. Sales and procurement work to different horizons.
  • Siloed forecasts. Channels and teams plan in isolation.
  • Trend-driven demand. Collections rise and fall with market trends.
How Planamind helps
Unified demand plan

One forecast across products and channels

Twelve models forecast every product and channel, and search and market trends can be applied as a scenario. Overrides record who changed what and why.

AI · Market intelligence Ana reads market news and turns it into planning actions, and the market position commentary names your biggest opportunity and risk.

Imported materials

Supplier lead times built into every order

Multi-level BOMs plan raw materials and components from planned production, with supplier lead times, minimum order quantities and safety stock for each item.

AI · Ask Ana Ask Ana which materials are heading for a shortage and what orders are already planned.

Spare parts

After-sales parts in the same plan

Spare-part demand for components is added on top of production requirements, so service parts and new products draw on one material plan.

Connected planning Parts, products and materials share one daily simulation, so nothing is planned twice.

Service levels

Balanced stock across the range

Items are classified A, B or C with their own service levels, and safety stock adjusts to each item's forecast error and lead time.

AI · Safety-stock suggestion Ana flags excess and lean buffers, with the working-capital effect of each change.

“Overall experience has been excellent and Sheetal and Prabir have been outstanding. We shall definitely recommend Anamind to other organizations with similar planning need.”

Elkay Interiors · Planning Intelligence
Case study · Home & interiors

Optimised demand planning for a leading bath fittings company

How better forecast accuracy and inventory efficiency drove supply chain success for a global brand.

Read the case study →
Kids' Products

Demand & Inventory Planning for Kids' Products

Plan seasonal ranges, new launches and long lead times with confidence. Planamind improves forecast accuracy and availability for kids' category brands and retailers while keeping inventory costs down.

The challenges
  • Demand variability. Seasons, school calendars and trends.
  • Long lead times. Orders placed months before the season.
  • New products. Frequent launches with no history.
  • Excess inventory. Outgrown ranges that don't sell through.
  • Inefficient ordering. Orders that ignore packs, pallets and minimums.
  • Omnichannel availability. Stock split across stores and online.
How Planamind helps
Seasonal forecasting

Peaks planned, not guessed

Seasonal models compete on every item, calendar events are flagged in the Monthly Review, and accuracy recommendations cover high-value lines.

AI · Monthly Review Ana explains demand changes and flags calendar events not yet in the plan.

New products

Launches with a real baseline

Map the history of a predecessor or similar item to a new product with a configurable share and overlap.

Suggested predecessors Planamind suggests likely predecessor items for each new product.

Right-sized ordering

Orders that fit packs, pallets and minimums

The daily simulation sizes orders to safety stock and order cycle, then rounds to minimum order quantities and whole pallets, with lead times for every supplier.

AI · Safety-stock suggestion Ana suggests buffers from forecast error, service level and lead time.

Clearance

Sell through before the range ages

Overstock and near-expiry stock trigger recommended promotions, and every promotion is measured on net lift.

AI · Promotion assessment Ana scores each promotion out of 10 and writes a post-mortem once it closes.

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 →
What planning teams gain
5–20%Forecast accuracy improvement
10–20%Inventory reduction
50–80%Order-loss prevention
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.

A
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.

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.

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.

?
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.

Live · no slides · this week

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