Fountain9
Fountain9 is a predictive inventory planning solution. We help food brands and retailers reduce food wastage and improve product availability by predicting their future inventory needs. Food wastage is a global problem that has both financial and environmental costs. An estimated $1.3 Bn tonnes of food is wasted every year and 7 - 15% of that is because of mismanaged inventory. We accurately predict future inventory imbalances which lead to out of stock situations or wastage, and also recommends
Y Combinator
yc-company-directory #4691Fountain9 is a predictive inventory planning solution. We help food brands and retailers reduce food wastage and improve product availability by predicting their future inventory needs. Food wastage is a global problem that has both financial and environmental costs. An estimated $1.3 Bn tonnes of food is wasted every year and 7 - 15% of that is because of mismanaged inventory. We accurately predict future inventory imbalances which lead to out of stock situations or wastage, and also recommends
sourceFountain9 is classified as Fintech from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.
Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.
Companies similar to Fountain9
A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.
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match 6Other company.
shared affiliation: Y Combinator; shared cohort: Winter 2021