Our client is a European market insights firm in the Food & Beverage Retail market.

Their core offering is a one-of-a-kind platform which tracks global product launches and provides insights on product launches and their attributes such as ingredients, flavors, etc. They had two objectives – detect popular themes from product descriptions of packaged F&B products, and corroborate this using stated preferences on social media.

• Posts on social media, especially tweets, tend to be short and normal rules of grammar often do not apply
• Eliminating redundancy by identifying and eliminating synonyms in addition to standard text parsing and data cleansing
• 2+ million unique products across 125+ F&B categories, 10+ years, and 75+countries.