Syrup

Syrup
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Syrup
Booth # 1239
New York, NY
United States
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 allocations to maximize 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 to meet demand.
Product & Service Categories:
Forecasting, Multichannel, Business Intelligence, Assortment/Category Management, Forecasting, Planning and Execution, Sustainability

Press Releases

LDSM, Syrup’s Neural Network Forecasting Model

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.