Propulse AI uses Artificial Intelligence in an applied commercial context. Pioneers in Artificial Intelligence and Machine Learning, Propulse AI leverages Deep Learning to solve the toughest problems in the E-Commerce Industry. Propulse AI offers, bar none, the best and most personalized shopping recommendations of any solution available on the market. It does so by observing each shoppers personal tastes even as they shop. Other solutions try to deduce what shoppers want based on historical data patterns. Propulses AI technology proposes instead a highly taste sensitive digital personal shopper that looks and learns from each shopper as they shop instead of guessing based on patterns. The results are product recommendations that actually serve as natural visual navigation because they are so aligned with the shoppers taste and intent. - Recognizes Taste: Analyses product images considering thousands of variables simultaneously. - Historical Data: Looks into historical data establishing browsing interest and actual purchase patterns. - Real Time: Serves best matching products in real-time ensuring maximum sell-through potential. - Email Support: Allows for highly personalized emails proposing products that accurately match shopper tastes - Product Availability: Looks into the inventory to determine what is, will and should be available.
Propulse AI uses Artificial Intelligence in an applied commercial context. Pioneers in Artificial Intelligence and Machine Learning, Propulse AI leverages Deep Learning to solve the toughest problems in the E-Commerce Industry. Propulse AI offers, bar none, the best and most personalized shopping recommendations of any solution available on the market. It does so by observing each shoppers personal tastes even as they shop. Other solutions try to deduce what shoppers want based on historical data patterns. Propulses AI technology proposes instead a highly taste sensitive digital personal shopper that looks and learns from each shopper as they shop instead of guessing based on patterns. The results are product recommendations that actually serve as natural visual navigation because they are so aligned with the shoppers taste and intent. - Recognizes Taste: Analyses product images considering thousands of variables simultaneously. - Historical Data: Looks into historical data establishing browsing interest and actual purchase patterns. - Real Time: Serves best matching products in real-time ensuring maximum sell-through potential. - Email Support: Allows for highly personalized emails proposing products that accurately match shopper tastes - Product Availability: Looks into the inventory to determine what is, will and should be available.
Company Information
- Industry
- Information Technology And Services
- Company Type
- Privately Held
- Founded
- unknown
- Employee Range
- 1-10
- Revenue Range
- Not available
Location
- Address
- 1470 Peel Street Montreal, Quebec
- City
- Montreal
- Region
- Quebec
- Postal Code
- Country
- Canada