pacemaker.ai Replenishment Decision Intelligence

pacemaker.ai

WebAPI

Spec score 7.3 #18 of 24 in Replenishment Software

What it is

pacemaker.ai Replenishment Decision Intelligence generates daily order proposals by item and location, then recalculates them as new data arrives. It helps planners decide what to order, how much, and when, using demand forecasts and order history to plan items and estimate delivery times. Lead-time forecasts account for supplier, site, and material history, as well as order quantity, port proximity, and holidays. Exception alerts flag items that may need attention, including those affected by supplier delays or demand spikes. Dashboards and simulations show the reasoning behind recommendations, and planners can adjust safety stocks or lot sizes. The Review Cycle supports S&OP supply planning with material reviews, quantity edits, comments, and a Shopping List. The SaaS product runs in a browser, connects to enterprise systems through APIs or interfaces, and builds on pacemaker.ai Demand Forecasting. Pricing is available on request. A thyssenkrupp Aerospace deployment manages 135,000 sales SKUs and produces more than 550,000 reorder recommendations per day.

Spec sheet

Purpose: Replenishment Decision Intelligence makes daily item-level decisions about what to order, how much, and when.Read 7 Oct 2026 · pacemaker.ai
Intended users: The company identifies manufacturers and businesses with complex assortments, seasonal demand, high inventory costs, or critical availability needs as suitable users.Read 7 Oct 2026 · pacemaker.ai
Deployment: The company describes its planning software as SaaS and says it can be used through a standard browser.Read 7 Oct 2026 · pacemaker.ai
Integrations: The product connects through APIs or interfaces to ERP, inventory management, and other enterprise systems.Read 7 Oct 2026 · pacemaker.ai
Security: Pacemaker.ai says its supply and business data are protected under ISO 27001, it has a TISAX assessment, and its quality management is ISO 9001 certified.Read 7 Oct 2026 · pacemaker.ai
Support: The company offers a 30-minute product walkthrough and invites prospective customers to contact its team.Read 7 Oct 2026 · pacemaker.ai
Headquarters: Essen, GermanyRead 28 Sep 2026 · pacemaker.ai
Founded: 2021Read 28 Sep 2026 · pacemaker.ai
Alerts: Exception-based alerts highlight items needing attention, such as those affected by supplier delays or demand spikes.Read 7 Oct 2026 · pacemaker.ai
Customer scale: The thyssenkrupp Aerospace case reports 135,000 sales SKUs managed and more than 550,000 reorder recommendations per day.Read 7 Oct 2026 · pacemaker.ai
Daily recommendations: It generates order proposals by item and location and recalculates them daily, including dynamic delivery times.Read 7 Oct 2026 · pacemaker.ai
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.Read 7 Oct 2026 · pacemaker.ai
Demand and lead times: It uses demand forecasts and order history to plan items individually and learn lead times.Read 7 Oct 2026 · pacemaker.ai
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.Read 7 Oct 2026 · pacemaker.ai
ERP integration: The product can connect via APIs to ERP systems, inventory management software, and other enterprise systems.Read 7 Oct 2026 · pacemaker.ai
Hosting and setup: The service runs as SaaS, needs no customer infrastructure, and includes guided onboarding and ongoing updates.Read 7 Oct 2026 · pacemaker.ai
Implementation: The product page says implementation takes place without disrupting ongoing processes and describes go-live as taking weeks rather than months.Read 7 Oct 2026 · pacemaker.ai
Limits and dependency: The product builds on forecasts from pacemaker.ai Demand Forecasting and translates them into ordering and planning decisions.Read 7 Oct 2026 · pacemaker.ai
Order proposals: The system generates item-level order proposals and adapts them as new data arrives.Read 7 Oct 2026 · pacemaker.ai
Planner controls: Dashboards and simulations show the reasoning behind recommendations, and planners can adjust safety stocks or lot sizes.Read 7 Oct 2026 · pacemaker.ai
Planning controls: Dashboards and simulation tools show the reasoning behind recommendations, and planners can adjust safety stocks or lot sizes.Read 7 Oct 2026 · pacemaker.ai
Pricing: The product page provides no price and directs interested buyers to book a demo.Read 7 Oct 2026 · pacemaker.ai
Review Cycle: The Review Cycle supports S&OP supply planning and lets planners review materials, edit order quantities, add comments, and move items to a Shopping List.Read 7 Oct 2026 · pacemaker.ai
Scale: A featured thyssenkrupp Aerospace deployment manages 135,000 sales SKUs and produces more than 550,000 reorder recommendations per day.Read 7 Oct 2026 · pacemaker.ai
Support and sales: The company offers a 30-minute product demo and describes implementation as going live in weeks rather than months.Read 7 Oct 2026 · pacemaker.ai

Strong points and limits

Strong points

Recalculates item-and-location proposals daily.
Forecasts lead times using order history and contextual factors.
Planners can adjust safety stocks and lot sizes.
Supports ERP and inventory-system connections.

Limits

Builds on pacemaker.ai Demand Forecasting.
Pricing is available on request.
Implementation is described as taking weeks rather than months.

Who it suits

The company identifies manufacturers and businesses with complex assortments, seasonal demand, high inventory costs, or critical availability needs as suitable users. It is intended for planners working with replenishment decisions and enterprise systems.

Verdict

The product combines daily proposals, lead-time estimates, alerts, and planner controls. Buyers should account for its dependency on pacemaker.ai Demand Forecasting and request pricing from the company.