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features
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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

QuantumLeap Retail Suite is a SaaS platform for retail planning and analytics, built around real-time, event-driven data. It connects campaign, price, assortment and customer processes in one system, so changes in one area are reflected across the others without manual spreadsheet work. Each module can run on its own or as part of the full suite. QL Campaign handles promotion planning and runs automated rule validation, including checks against the EU 30-day price rule, with alerts before errors reach customers. QL Price manages price strategies and their execution. QL Assortment supports range modeling with virtual placeholder products for seasons that don't exist yet. QL Customer handles personalized, cross-channel engagement, and QL Mobile puts campaign and inventory data in the hands of store employees. Every decision in the system is validated, fully traceable and measurable, giving teams effect predictions up front and clear results afterward. The platform has been in production at major Scandinavian retailers since 2015.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

No details available.

Integrations

No details available.

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App No 
Android App Yes 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Manthan

Country

United States

Website

www.manthan.com/product/merchandise-analytics

Vendor Details

Company Name

Temalogic

Country

Sweden

Website

www.temalogic.com/products

Product Features

Retail Execution

AI / Image Recognition No 
Collaboration Tools No 
Data Collection Yes 
Inspection No 
Pricing / Placement Optimization Yes 
Product Education No 
Product Promotion Strategy Yes 
Retail Site Audit Yes 
Workforce Management Yes 

Task Management

Collaboration Yes 
Create Subtasks Yes 
Gamification Yes 
Gantt Charts Yes 
Mobile Access Yes 
Percent-Complete Tracking Yes 
Progress Tracking Yes 
Recurring Tasks Yes 
Reporting/Analytics Yes 
Spreadsheet View Yes 
Task Board View Yes 
Task Planning Yes 
Task Scheduling Yes 
Task Tracking Yes 
Time Tracking Yes 
To-Do List View Yes 

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