DELMIA Demand Planning vs Peakboard OEE Software

DELMIA Demand Planning is Windows software for forecasting customer demand in manufacturing and supply-chain operations. It combines historical sales, market trends and external factors with statistical algorithms, machine learning and generative AI to identify patterns, choose models and flag anomalies. Teams can add market intelligence such as promotions or economic shifts to statistical forecasts. Planners can pivot through SKU, category, region and other product or geographic levels, then run scenarios to estimate inventory and financial effects of disruptions or strategic changes. Forecast automation accepts new data, recalculates forecasts, monitors accuracy and escalates critical exceptions. Demand plans connect with DELMIA Supply Planning and S&OP for procurement, production and capacity alignment, while the DELMIA Quintiq Demand Planner factsheet describes R statistical platform integration. The listed 2026 release supports 64-bit Windows 10 and 11 plus Windows Server 2016, 2019 and 2022, and requires QR Server 1.7.4. Pricing is on request.

Peakboard OEE Software records machine run times, unit counts and scrap, then continuously calculates availability, performance and quality. It assigns reasons to losses and keeps OEE values for comparisons across shifts and periods. Operators can enter downtime and its cause by touch when a machine has no interface. Machine data can come through OPC UA, Siemens S7, MQTT or Modbus; target values, orders and inspection results can come from SAP, MES or a SQL database. Ready-made OEE applications can be customized with drag-and-drop tools or Peakbot without code. They run inside the customer network on a Peakboard Box or existing Windows hardware, without middleware. OEE values can also be stored with timestamps in Peakboard Hub for comparing shifts, lines and periods. Peakboard lists a free plan and a 180-day trial, with paid plans from €49/mo (annual). The Peakboard Box supports one monitor over HDMI, and splitting a visualization across multiple monitors is not intended.