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Description
Adopting the Lean Retail Framework empowers businesses to prioritize delivering exceptional customer experiences rather than struggling with complicated technological setups. Despite their efforts, many retailers find themselves hindered by tech obstacles that prevent them from competing effectively against larger rivals in terms of ease of access, product variety, and tailored service. Challenges such as manual processes and poor inventory management lead to issues like excess stock, shortages, and outdated products. Retailers continuously seek to maximize their output while minimizing resources. Often, employees are bogged down by manual tasks and technological hurdles, diverting their focus from outstanding customer service. For many years, large online platforms, major corporations, and leading specialty stores have been gradually encroaching on the market share of local businesses. They utilize their substantial financial resources to create advanced technologies aimed at enhancing customer satisfaction and streamlining their operations, leaving smaller retailers at a disadvantage. Consequently, it is crucial for local businesses to embrace innovative frameworks to level the playing field.
Description
Revolutionizing the fashion retail landscape, Streamoid provides a comprehensive range of AI-driven solutions designed for web optimization and personalization. By integrating fashion AI into your operations, you can enhance productivity across the board. Our e-commerce APIs cater to every aspect of your website and mobile applications, featuring search and recommendation engines tailored for the fashion industry that boost relevance and drive conversions. The process of catalog automation has been transformed from labor-intensive days to mere minutes, and you can even generate marketing videos using just product images. With our retail intelligence tools, you can compare products internationally and gain valuable insights into your sales dynamics. Our hyper-personalization capabilities ensure that customers are matched with the products they genuinely desire. Furthermore, our machine learning services allow you to leverage your existing fashion data to build custom models through our no-code solution. We achieve this by utilizing advanced computer vision techniques within a fashion-specific deep learning framework, addressing the unique challenges of automation in this sector. Having trained over 7,000 models, we are committed to pioneering innovations that streamline and enhance the fashion retail experience.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$500 per month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
FieldStack
Country
United States
Website
fieldstack.com
Vendor Details
Company Name
Streamoid Technologies
Founded
2014
Country
India
Website
www.streamoid.com
Product Features
Retail Management
CRM
Commission Management
Email Marketing
Employee Management
Loyalty Program
Mail Order
Merchandise Management
Multi-Location
Order Management
Purchase Order Management
Reporting/Analytics
Returns Management
eCommerce
Product Features
eCommerce Personalization
A/B Testing
Abandoned Cart Email
Dynamic Pricing
Offers & Discounts Notifications
Personalized Site Navigation
Product Recommendations
Reporting / Analytics
Social Insights
Personalization
A/B Testing
Abandoned Cart Saver
Account Based Marketing
Behavioral Targeting
Campaign Segmentation
Content Analytics
Contextual Targeting
Customer Profiles
Experience Management
Recommendation Engine
Website Personalization