DOMO is an upholstered furniture manufacturer with its own production in Europe. It is important for DOMO to know what its customers will buy as far in advance as possible. The manufacturer can therefore rapidly react to trends and customer wishes. DOMO can also deliver more quickly to retailers. However, DOMO can only continue to maintain its lead if it can recognize which sofa shapes, colors and furnishings customers will want early on – and how this differs from region to region.
Neutrum Market Check determines how consumer demand will develop for each particular design, color and furnishing. Neutrum Market Check identifies seasonal patterns and stable trends automatically. It can thus forecast market demand. With Neutrum Topic Navigator’s semantic technology, all media information processes (reaction to offers, interest in product tests, ratings, statements on social media) are evaluated to identify the qualitative drivers for both positive and negative product perception and to determine trends–for instance whether “easy-to-clean” is more important than “electric adjustments”. In this way, customer expectations and market trends are more clear. The data is also used with AI to find out which product photos are more successful than others in the overall market and what an optimal photo for retailers must look like in order to sell more. The Neutrum EVO Optimizer engine enriches CRM and ERP data with demand and structure data – right down to the individual sales location. This is used to benchmark and compare actual with potential sales, in order identify opportunities through a better allocation of products, colors and variants.
With Neutrum, promising product, color and decor trends are identified nine to twelve months in advance. This enables product development to pick up on changes in demand ahead of the competition so it can respond with a suitable offer. Furthermore, a realistic assessment and better exploitation of regional sales potential is achieved through the optimal stocking and sampling of on-site retail trade. Furthermore, the added value vis-à-vis retailers is reinforced by optimizing data-supported advertising materials.
German 
