Optiply vs pacemaker.ai Replenishment Decision Intelligence

Optiply automates inventory management and replenishment by recommending what to order, when to order, and how much. Its supply chain agent monitors demand, supplier performance, and stock levels, then places or adjusts orders and explains changes. The purchasing algorithm uses more than 40 forecasting calculations, considering sales, ABC categorization, seasonality, trends, peaks, and delivery times. Optiply advertises more than 50 integrations across ERP, WMS, fulfillment, retail POS, database, data provider, e-commerce, and marketplace categories. Named examples include Exact Online, Shopify, Picqer, WooCommerce, BigCommerce, and Bol.com. The Lite plan costs €79 per month and includes up to 1,000 sales orders per month and up to 1,000 SKUs. Lite offers a 14-day trial without a credit card for online stores using a standard integration. Several standard integrations do not require additional fees; custom system connections through the API may incur a one-time connection fee. Optiply serves e-commerce, wholesale, and retail businesses, and is available on web and through an API.

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.