Our automated tool collects and analyzes data from key influencers and top bloggers across specific regions on social media. It predicts beauty and fashion trends, enabling businesses to make informed decisions for inventory planning and market strategies.
Currently, our focus is on select segments of the fashion industry. As of now, our advanced smart platform can analyze and predict trends in:
Footwear
Cloth
Accessories
Beauty
Hairstyle

HOW POSHPULSES WORKS





CREATED FOR FASHION INDUSTRY
POSHPULSES OFFERS YOU
Early Trend
Identification
Our AI system identifies emerging beauty trends before they hit the mainstream, giving businesses a competitive advantage.
Real-time
Monitoring
Our system provides real-time updates on shifting beauty trends and consumer preferences, allowing businesses to stay responsive and adapt quickly.
Guidance for Campaigns
and Product Launches
The data-driven insights from our platform can guide the development of targeted campaigns, influencer collaborations, and product launches that align with current and projected trends.
Accurate
Demand Forecasting
By analyzing vast amounts of data, PoshPulses enables businesses to predict consumer demand with a high degree of accuracy.
Efficient
Planning
PoshPulses aids in planning inventory levels, production schedules, and marketing campaigns more effectively, minimizing the risk of overstocking or understocking.
Agility
By providing timely and accurate market trend predictions, PoshPulses allows businesses to stay agile, adjust their strategies, and make data-informed decisions.

OUR TEAM
Meet the PoshPulses team - a group of industry professionals with years of experience and deep-rooted passion for the world of fashion and beauty.
Zihe Lyu
seasoned professional, leveraging expertise as a beauty blogger, marketing specialist, and business development supervisor to drive technological advancements in the company
Zhen Tian
an experienced leader with a background in Information Systems and Foreign Trade Accounting, known for her successful managerial roles in technology and finance sectors.

AI & Fashion

PODCAST:
Shaping the Future
with Posh Pulses
SCIENCE BEHIND THE PROCESS
At the heart of PoshPulses is a sophisticated blend of data science, artificial intelligence, and machine learning technologies.
Data Acquisition
PoshPulses system scans social media feeds of the most influential bloggers and fashion specialists, saving photos and videos for analysis. This active data collection from selected thought-leaders gives us a rich and timely dataset representing current fashion and beauty trends.

Object Recognition
At the heart of Posh Pulses innovative system lies our Google-powered Object Recognition system. The technology begins with Social Media (SM) and Video Scan, scrutinizing every frame of a video or image from influential fashion bloggers and trendsetters to extract relevant data. This is not just about identifying a piece of clothing, accessory, or beauty product. It's about capturing the essence of each object, understanding its unique characteristics, and recognizing patterns.
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The data derived from this process is then aggregated to create a comprehensive 'Data Cloud.' This is an immense pool of fashion intelligence, encompassing everything from clothing types, colours, materials, brands, and styles, to individual elements of beauty and hairstyles. Each object within this cloud has its own set of characteristics, allowing for detailed, nuanced analysis of trends.
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One of the key aspects of Posh Pulses approach is the ability to compare current data with historical parameters. By analyzing past trends, our AI technology not only identifies what is currently popular but can predict what will be popular in the future. This historical comparison allows Posh Pulses to identify emerging trends earlier than traditional methods, providing users with a powerful tool for making informed decisions about their fashion strategies. The result is a game-changing blend of technology and fashion insight that revolutionizes how businesses forecast demand and stay ahead in the fast-paced world of fashion.

Feature Extraction, Trend Identification and Demand Forecasting
Leveraging advanced machine learning algorithms, PoshPulses generates sets of characteristics for fashion-related items and identifies patterns across the data cloud to determine trends. This process involves recognizing and cataloging various styles, colors, and other fashion elements from a vast dataset. Furthermore, the system cross-references these identified trends with existing collections on sale, statistical data, and historical data on previous collections and their sales volumes. This combined analysis empowers the AI to predict upcoming trends and forecast product demand effectively.

Client Request Fulfilment
Clients can validate their hypotheses by requesting trends for specific models or colours and receive forecasts on popularity and sales volumes. This interactive aspect of PoshPulses enables a highly customized and user-focused experience.

These scientific components work together to make PoshPulses an innovative, data-driven tool for understanding and forecasting fashion and beauty trends.

COMPARISON
What truly sets PoshPulses apart in the market is its unparalleled speed, depth, and intelligent analysis of fashion trends. While other platforms may provide trend insights, none match the immediacy with which PoshPulses identifies emerging trends. Thanks to our AI and machine learning capabilities, PoshPulses delves deeper, uncovering granular insights that go beyond surface-level trends. Our system comprehends the nuances of fashion and beauty trends, translating vast data into actionable insights. This smart, timely, and in-depth analysis offers our clients a unique edge, enabling them to stay ahead of the curve and meet consumer demands efficiently and effectively.
PoshPulses
SAP, Oracle, SalesForce
Other AI forecasting tools
Provides real-time updates on shifting beauty trends and consumer preferences
​
Identifies emerging
beauty trends
early on
​
Enables accurate
demand
forecasting
​
Uses AI to predict market trends by identifying clothing, accessory, and makeup characteristics
Predicts
the latest trends
from social
media
No need
to built-in
ERPs
​