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What is Manthan Merchandise Analytics?
This document outlines the essential steps to undertake, specifying when and where these actions should occur, along with the individuals accountable for them. Manthan’s Merchandise Analytics serves as a sophisticated Prescriptive Analytics tool powered by AI, providing guidance on the most optimal, data-driven actions for critical merchandising and in-store operations. Moreover, its state-of-the-art conversational interface ensures that all users within the business can easily access and apply these insightful recommendations. By customizing product assortments in line with customer preferences and adapting them to particular store locations, businesses can more effectively cater to the needs of their clientele. The platform accommodates both pre-season and in-season planning for assortments, allocations, new product introductions, and visual merchandising or spatial planning, while also assisting in the formulation of private label strategies. The actions it suggests are meticulously crafted to improve essential assortment metrics such as sales growth, gross margins, and inventory turnover. In addition, it provides valuable insights into product bundling, markdown tactics, and strategic decisions about which products to keep or phase out. Consequently, businesses can not only enhance their offerings but also drive profitability and elevate customer satisfaction levels, ultimately fostering a more responsive and efficient retail environment. Thus, leveraging such advanced analytics can significantly influence a company's competitive edge in the marketplace.
What is Focal Systems?
Focal Systems is transforming the retail industry through its innovative focalOS platform, which employs advanced deep learning and computer vision technologies. Retail managers face the daunting task of managing a vast array of SKUs, staff, and diverse locations while dealing with rising labor costs and the fierce rivalry between online and brick-and-mortar shopping, all of which strain profit margins. By harnessing AI-powered decision-making, Focal's retail partners can streamline their store operations, leading to improved task management and prompt notifications that enhance overall efficiency and customer satisfaction. Working in partnership with leading retailers around the globe, Focal is dedicated to implementing AI solutions that provide not only financial returns but also elevate the customer experience, thereby paving the way for a more progressive retail landscape. As the retail sector continues to change and adapt, the significance of such technological innovations becomes increasingly apparent, underscoring the necessity for retailers to embrace these advancements for sustained success.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Manthan
Company Location
United States
Company Website
www.manthan.com/product/merchandise-analytics
Company Facts
Organization Name
Focal Systems
Date Founded
2015
Company Location
United States
Company Website
focal.systems
Categories and Features
Categories and 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