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Description
This information provides insights on the necessary actions to be taken, including the timing, location, and responsible individuals. Manthan's Merchandise Analytics is an advanced Prescriptive Analytics solution driven by AI, offering recommendations for the most effective, data-informed actions across vital merchandising and in-store operations. Additionally, with its innovative conversational interface, all business users can easily access and utilize these valuable recommendations. By personalizing product assortments according to customer preferences and localizing them to specific stores, businesses can better meet their customers' needs. The platform supports both pre-season and in-season assortment planning, allocation, new product launches, and visual merchandise or space planning, while also helping to define private label strategies. Actions are specifically designed to enhance key assortment metrics, including sales growth, gross margins, and inventory turnover. Furthermore, it offers insights on product bundling, markdown strategies, and decisions regarding which products to retain or discontinue. In this way, businesses can effectively tailor their offerings to maximize profitability and customer satisfaction.
Description
Often carried out at a category level, a financial plan acts as a foundational reference and a basis for developing other strategic plans. This comprehensive plan incorporates the essential features needed to create a long-term budget as well as forecasts for sales, gross margin, inventory turnover, and other crucial key performance indicators (KPIs). Users have the capability to evaluate and approve figures at various management levels, thereby establishing financial objectives for the upcoming year or multiple seasons. This plan relies on a long-term demand forecast and leverages the insights generated by Retalon’s predictive analytics engine, which analyzes historical sales data, including factors such as lost sales, promotional activities, price adjustments, seasonality, and market trends, to assist users in planning future sales, inventory quantities, and receipts. Additionally, this module empowers users to determine optimal initial pre-allocation quantities while considering the specific needs of each location, plan-o-gram limitations, desired product assortments, inventory availability, and relevant business rules. Ultimately, this structured approach to financial planning streamlines the decision-making process and enhances overall organizational efficiency.
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
No price information available.
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
Manthan
Country
United States
Website
www.manthan.com/product/merchandise-analytics
Vendor Details
Company Name
Retalon
Founded
2002
Country
Canada
Website
retalon.com/solutions
Product Features
Product Features
Automatic Replenishment Systems
Counting by Exception
Customer Management
Financial Management
Inventory Management
Nice Shelf Stocks
On-order Information
Sales Anticipation
Store Order Leveling
Zero Turnover Checks
Predictive Analytics
AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis