Manufacturing Forecast Planning Across Complex Data Layers

The client is a Japanese enterprise managing sales forecasts for materials supplied by multiple vendors.

Forecast volumes, BOM data, revenue views, and procurement requirements had to be handled across different organizational and data layers. These inputs varied in format and level of detail, making data standardization an important part of the system requirements. The client therefore needed a web based planning system that could manage forecasts, support scenario analysis, and connect sales planning with material purchasing requirements.

Newwave Solutions combined implementation with targeted research into Intra-mart capabilities throughout the project. Because available references were limited, the team tested different implementation methods, validated them through small experiments, and selected the approach that best fit the required business logic. This process was applied while developing key planning functions, including monthly forecast management, automated aggregation of forecast sales and annual plans, scenario analysis, and BOM based procurement calculation. By validating unfamiliar functions before wider implementation, the team reduced technical uncertainty while keeping development aligned with the client’s business requirements.

Limited Intra-mart references created uncertainty around several implementation areas, while batch processing and data synchronization had to remain stable throughout the system. IM Copilot added another challenge because the technology was new to NWS and supported by few reference materials. The team responded through focused research, multiple implementation trials, and proof of concept validation before settling on suitable approaches. This helped reduce technical uncertainty while keeping development aligned with the planned release schedule.