Statements (50)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
technology application
|
| gptkbp:adoptedBy |
gptkb:Amazon
gptkb:H&M gptkb:Target gptkb:Walmart gptkb:Zara gptkb:Sephora gptkb:Alibaba gptkb:Macy's 2010s |
| gptkbp:appliesTo |
retail industry
|
| gptkbp:challenge |
data privacy
high implementation cost integration with legacy systems talent shortage bias in algorithms |
| gptkbp:enables |
fraud detection
personalized recommendations chatbots supply chain optimization dynamic pricing customer segmentation visual search customer service automation demand forecasting inventory optimization automated checkout |
| gptkbp:expectedGrowth |
CAGR over 30% (2023-2030)
|
| gptkbp:goal |
increase sales
reduce costs improve customer experience optimize operations |
| https://www.w3.org/2000/01/rdf-schema#label |
AI for Retail
|
| gptkbp:marketSize2023 |
over $5 billion
|
| gptkbp:relatedTo |
gptkb:Internet_of_Things
augmented reality big data e-commerce robotics digital transformation customer analytics omnichannel retail |
| gptkbp:trend |
increasing adoption
|
| gptkbp:uses |
gptkb:machine_learning
computer vision natural language processing data mining predictive analytics |
| gptkbp:bfsParent |
gptkb:German_Research_Center_for_Artificial_Intelligence_(DFKI)
|
| gptkbp:bfsLayer |
5
|