Syrup

• Booth: 1239

Syrup’s advanced demand sensing model empowers merchandise planning teams to optimize their buying, allocation, and replenishment decisions with confidence. Our platform marries internal historical and transactional data with external event and trend data to create a granular forecast at the item and location level and then recommends the optimal purchase quantities and and allocation strategy to maximize revenue and full-price sell through. Leading retailers like Faherty, Deckers, Gap, Salomon, and Reformation trust our platform to reduce overbuying and ensure that all excess inventory gets into the right channels and locations.

 Press Releases

• LDSM, Syrup’s Neural Network Forecasting Model (Dec 12, 2024)
  August 27, 2024 - NEW YORK NY

  Syrup is proud to announce the release of the Large Demand Sensing Model, or LDSM for short.

  Leveraging the power of cutting-edge neural networks in combination with our proven and sophisticated "traditional" predictive AI algorithms, LDSM allows retailers to feed all of this rich internal data into an intelligent brain — meanwhile, that brain consumes relevant external inputs like weather forecasts, local events databases, and social media trends.

  The end result? Unbelievably precise demand predictions constructed from a dizzying maze of unstructured data inputs.

  We’ve built LDSM from scratch to meet the unique needs of apparel and footwear businesses, training it on industry-specific proprietary data.