Planamind vs SAP IBP

Twelve models compete for every item, including a Prophet-style model, Theta and an MLP neural network alongside Holt-Winters, auto-ARIMA and Croston's method. The best fit is chosen on a blind backtest.

Override the forecast across the product, location and customer hierarchy, including per channel, with reason codes, comments and full override history.

Predecessor and successor mapping with a configurable share and overlap period.

New items can inherit history from a mapped predecessor, and Planamind can suggest one. Dedicated launch planning is in development.

Opportunities by pipeline stage and win probability, one-off or phased, with weighted, best-case and committed views that flow into supply and finance.

Plan promotions at any level with a suggested discount from price elasticity. Ana scores each one out of 10, and results are measured net of forward-buying and cannibalisation.

Weather, market and economic signals can be applied to the forecast as a scenario.

Built-in public sources: weather, OECD, World Bank and national statistics, Google Trends, trade data, tenders and AI-summarised news.

Daily simulation across three tiers (depot, plant and component) over a 30, 60 or 90-day horizon.

Unlimited BOM levels, plant-specific recipes and batch sizes. Planned orders are exploded down to raw material.

Safety stock by ABC class and service level. Ana suggests a statistical safety stock for each item, shown next to the current setting.

Orders sized to MOQ, rounding and whole pallets, with batch expiry used first-expiry-first-out and a shelf-life cap.

Loads built against pallet, unit and weight limits, with multi-drop vehicles and spare space filled by pulling orders forward.

Shortages are detected and allocated by proportional, fair-share or priority rules. Planamind does not model finite production capacity.

A gross-profit P&L built from the demand and supply plan, including opening and closing stock value.

Upload the AOP at any level. A revenue bridge splits the gap into volume, price and mix, with worst, base and best cases.

Every project can be used as a separate scenario.

A Monthly Review with AI commentary, plus comments, @mentions and tasks. There is no formal process-cycle workflow.

Ana answers questions in plain language over your live data, using the same access rights as the user.

The Monthly Review writes its own commentary, and business and accuracy reports come with an AI summary.

Ana fixes common stuck states, checks that the fix worked, and only logs a ticket with your consent.

FA%, WAPE, MAPE and bias, by forecast horizon, plus a forecast value added report on every override.

Backtested recommendations for high-value items, showing current error, projected error and the value of closing the gap. Nothing changes until a planner applies it.

A plain-language summary of why the forecast missed, with the likely cause for each item.

Stock banded by weeks of cover, with excess, low-stock and stockout-risk views and days to stockout.

Drag-and-drop pivot over demand and supply data with saved views, plus around 18 ready-made reports with Excel export.

Excel-shaped uploads with no schema design, plus a read-only SharePoint sync.

Direct ERP connectors are not built. Data comes in through Excel-shaped uploads and a read-only SharePoint sync.

Comment threads, @mentions and tasks on the plan, with reason codes and override history.

ISO/IEC 27001:2022 certified, SOC 2 Type II report (available under NDA), and an independent penetration test (July 2026) with no critical or high findings. SSO and EU, US or APAC data residency. How Planamind is secured →

First live plan in 48 hours, full production by Day 30.

No modelling or systems-integration project to fund. Excel-shaped uploads and a read-only SharePoint sync work with the data you already have.