ModApic is an AI Based Style and Fashion matching service provider to businesses
customers do not know the right keyword and the product in the website also may not be tagged with the same keywords.
Majority of us have faced the challenge of finding the exact or similar desired apparel.
Often people do not know which tag, category or attribute describes their desired style.
Clothing retailers want to satisfy customers’ requests without excessive labelling in their own inventory.
Clothing retailers and bloggers want to get the exact taste of their customers.
Our image based search does not need any input other than a photo!
A picture tells everything about an apparel while keywords may only provide a portion of that information.
We utilizes deep learning algorithms to extract different attributes of clothing, including fabric, texture, style etc., from the uploaded photo.
The outcome of image searching is a mixture of matches and suggestions.This process takes less than 5 seconds!
If there is not the exact match in a website, there is no problem! Our platform finds the best match.
Another interesting outcome is the recent trends through Instagram accounts of influencers or fashion blogs and providing best matches through image searching.
Keywords say something, but a photo says everything ! We use deep learning methods to find out what style a customer is looking for.
We will keep the customer much higher engaged and the chance of conversion will be increased.
Fashion websites benefits from higher level of customer engagement and conversion rates.
It is suggested that retailers choose a strategy based on customer value and satisfaction, as there is a lot to win by stepping away from price competition and instead satisfy customers by providing an opportunity to become less bored.
This study found that factors such as sudden urge to buy, haptics, risk factors, persuasion, convenience, monotony and boredom, and trust were the dominant personal factors. These factors act as the triggers for consumers to make impulse purchase decisions.
The speciality of the information and the similarity with the recommender significantly affect cognitive trust. Visual appeal of products and feasibility significantly affect perceived enjoyment. Visual appeal of products exerts an impact on perceived usefulness, and affective trust is influenced by the speciality.