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pacemaker.ai Replenishment Decision Intelligence
Essen, Germany
What it is
pacemaker.ai Replenishment Decision Intelligence generates daily order proposals by item and location to help determine what to order, how much, and when. It recalculates proposals as new data arrives, using demand forecasts and order history to plan items individually and estimate delivery times. Lead-time forecasts draw on supplier, site, and material history, plus factors such as quantity, port proximity, and holidays. Exception alerts flag items affected by supplier delays or demand spikes. Dashboards and simulations show the reasoning behind recommendations, while planners can adjust safety stocks or lot sizes. The Review Cycle supports S&OP supply planning: planners can review materials, edit quantities, add comments, and move items to a Shopping List. The SaaS product runs in a standard browser and connects through APIs or interfaces to ERP, inventory management, and other enterprise systems. It builds on pacemaker.ai Demand Forecasting. The company says data is processed exclusively in the EU and EEA, separated by tenant, and not used to train AI models. A thyssenkrupp Aerospace deployment manages 135,000 sales SKUs and generates more than 550,000 reorder recommendations per day. Pricing is on request; prospective buyers can book a 30-minute demo.
For and against
For
- Generates daily proposals by item and location.
- Alerts flag supplier delays and demand spikes.
- Planners can adjust safety stocks and lot sizes.
- Connects to ERP and inventory systems.
- Runs as SaaS in a standard browser.
Against
- Pricing is available on request.
- It builds on pacemaker.ai Demand Forecasting.
- The company offers a demo rather than a listed free plan.
The verdict
The service combines daily replenishment proposals with planner controls, exception alerts, and enterprise integrations. Its dependency on pacemaker.ai Demand Forecasting and request-based pricing are important considerations for prospective buyers.
Who it suits
The product is aimed at manufacturers and businesses with complex assortments, seasonal demand, high inventory costs, or critical availability needs. It may suit planners who need item-level ordering decisions and ERP or inventory-system connections.
On the record
- Alerts
- Exception-based alerts highlight items needing attention, such as those affected by supplier delays or demand spikes.pacemaker.ai · read 7 Oct 2026
- Customer scale
- The thyssenkrupp Aerospace case reports 135,000 sales SKUs managed and more than 550,000 reorder recommendations per day.pacemaker.ai · read 7 Oct 2026
- Daily recommendations
- It generates order proposals by item and location and recalculates them daily, including dynamic delivery times.pacemaker.ai · read 7 Oct 2026
- Data handling
- The company says data is processed exclusively in the EU and EEA, logically separated by tenant, and not used to train AI models.pacemaker.ai · read 7 Oct 2026
- Demand and lead times
- It uses demand forecasts and order history to plan items individually and learn lead times.pacemaker.ai · read 7 Oct 2026
- Deployment
- The company describes its planning software as SaaS and says it can be used through a standard browser.pacemaker.ai · read 7 Oct 2026
- Dynamic lead times
- It forecasts lead times using order history by supplier, site, and material, as well as factors such as order quantity, port proximity, and holidays.pacemaker.ai · read 7 Oct 2026
- ERP integration
- The product can connect via APIs to ERP systems, inventory management software, and other enterprise systems.pacemaker.ai · read 7 Oct 2026
- Hosting and setup
- The service runs as SaaS, needs no customer infrastructure, and includes guided onboarding and ongoing updates.pacemaker.ai · read 7 Oct 2026
- Implementation
- The product page says implementation takes place without disrupting ongoing processes and describes go-live as taking weeks rather than months.pacemaker.ai · read 7 Oct 2026
- Integrations
- The product connects through APIs or interfaces to ERP, inventory management, and other enterprise systems.pacemaker.ai · read 7 Oct 2026
- Intended users
- The company identifies manufacturers and businesses with complex assortments, seasonal demand, high inventory costs, or critical availability needs as suitable users.pacemaker.ai · read 7 Oct 2026
- Limits and dependency
- The product builds on forecasts from pacemaker.ai Demand Forecasting and translates them into ordering and planning decisions.pacemaker.ai · read 7 Oct 2026
- Order proposals
- The system generates item-level order proposals and adapts them as new data arrives.pacemaker.ai · read 7 Oct 2026
- Planner controls
- Dashboards and simulations show the reasoning behind recommendations, and planners can adjust safety stocks or lot sizes.pacemaker.ai · read 7 Oct 2026
- Planning controls
- Dashboards and simulation tools show the reasoning behind recommendations, and planners can adjust safety stocks or lot sizes.pacemaker.ai · read 7 Oct 2026
- Pricing
- The product page provides no price and directs interested buyers to book a demo.pacemaker.ai · read 7 Oct 2026
- Purpose
- Replenishment Decision Intelligence makes daily item-level decisions about what to order, how much, and when.pacemaker.ai · read 7 Oct 2026
