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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 Involves Stage?
With Involves Stage, you possess all the essential tools required to orchestrate a successful event, featuring state-of-the-art technology and intelligence specifically designed for points of sale and strategic management. You can oversee your team's performance and critical metrics with unmatched accuracy, which enhances productivity while simultaneously reducing expenses. Involves Stage transcends being merely an innovative technological tool; it represents a holistic strategy that guarantees effective outcomes through a distinctive framework centered on three fundamental pillars: productivity, execution, and intelligence. By leveraging Image Recognition technology, companies can significantly decrease data collection time by up to 80% at points of sale, while also increasing sales by as much as 20% in areas supported by field representatives. You have the ability to monitor the goals of each segment in real-time, meticulously categorized by channel and product assortment, ensuring exceptional detail and precision. Obtain swift access to intricate insights regarding your strategies, systematically organized by sales channels, operational regions, and store profiles, among various other potential segmentations, all while enabling ongoing adjustments to meet evolving market needs. This capability not only streamlines operations but also empowers your business to stay ahead of competitors in a dynamic marketplace.
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
Involves
Company Location
Brazil
Company Website
involves.com/stage/en/