Harvest House

Harvest House specializes in fruit and vegetables for wholesale, retail, catering, and food service sectors. Collaborating with its growers, it provides an extensive selection of tomatoes, cucumbers, and peppers, making it the largest fruit and vegetable specialist in Europe, spanning over 1000 hectares.

Challenge  

To effectively manage the increasing demand for product data, Harvest House is in the process of selecting and implementing a Product Information Management (PIM) system. As part of the preparations for the new PIM system, an assessment was conducted to identify which data is digitally accessible. However, sources like Excel and Harvest House’s ERP system contain only a limited amount of product data. Consequently, it would necessitate manual entry of product attributes into the new PIM system, a process that is time-consuming. Therefore, Harvest House sought a smart software solution to facilitate the identification and extraction of product data efficiently.

Solution  

Squadra Machine Learning Company’s PowerEnrich solution employs artificial intelligence to interpret various phrases, spellings, and abbreviations effectively for Harvest House. This enables automatic extraction of product characteristics from the product descriptions, which are then presented to product data stewards for confirmation. The system is tailored to the Harvest House data model and the languages used in product descriptions. Additionally, data stewards can establish rules to enhance the extraction process further.

Result  

With Powerenrich.ai  , Harvest House can incorporate products into its catalog more swiftly and accurately, enriched with detailed specifications. This results in a greater number of products possessing enhanced specifications, facilitating quicker and easier sales. Overall, this process saves significant time compared to manual data entry, leading to reduced costs and increased revenue.