Market360 Features
Data Management (9)
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Data Types
Gather multiple types of data from various sources
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Consolidation
Consolidates data from multiple sources
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Cleansing
Detect innacurate, incomplete, or duplicate commerce data
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Validation
Ensure that the data complies with internal quality standards
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Correction
Allow users to update the data to nesure its accuracy and validity
Market Data Analysis
Collect & analyze data from multiple sources to get insights into competing products, customer behavior, pricing & marketing strategies
Data Aggregation
Collect, process and structure data from multiple sources for further analysis
Real-Time Data
Receive data and information in real time
Data Verification
Process of checking different types of data for accuracy to avoid errors or inconsistencies
Analytics (6)
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Forecasting
Generate forecasts using historical data and market trends
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KPIs
Include standard key performance indicators (KPIs) for retail and e-commerce
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Dashboards
Provide customizable dashboards to display KPIs and forecasts
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Integration
Integrate with bsiness intelligence and analytics software
Demand Forecasting
Forecast customer demand using historical insights and simulations
Third-Party Integration
Addition of necessary external data, applications, tools, or features
Generative AI (1)
AI Text Generation
Allows users to generate text based on a text prompt.
Agentic AI - Retail Intelligence (8)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Shelf Planning
Process of arrangement and optimization of product placement on retail shelves using data-driven insights
Additional Functionality (41)
Sales Activity Management
Define, track, and/or automate sales activities and sales processes
Business Intelligence
Technological processes and strategies used for collecting, managing, and analyzing organizational data
Heatmaps
A visual display that uses a color spectrum to show how visitors interact with areas of a web page
Customer Experience Management
Track and understand a customer's overall satisfaction with a product or service to identify areas of improvement.
Price Optimization
Track factors that affect pricing and adjust prices accordingly to increase sales
Dynamic Pricing
Real-time price adjustment for a product or service to reflect changing market conditions, geolocation, customer behavior, etc.
Supplier Management
Manage all supplier data and operations
Predictive Analytics
Predict future data based on historical data sets
Customer Data Management
Searchable repository of information about clients
Retail Analytics
Analysis of retail data to provide actionable insights for optimizing store performance and brand presence
Competitive Benchmarking
Compare brand frequency and position versus competitors in AI content.
Conversion Rate Optimization
Improving user journey to boost the percentage of visitors who take a desired action (sign-ups or purchases)
Reporting/Analytics
View and track pertinent metrics to find patterns and gain insights from data
Trend Analysis
Review data from past periods to reveal recurring tendencies and predict future performance
Performance Metrics
A set of indicators that tracks the performance of networks, applications, systems, teams, etc.
Personalization and Recommendation
Generative AI models can create personalized recommendations for users based on their preferences and behavior.
Sales Analytics
Track in detail how users interact with your campaigns and pages (scrolling, button interactions, etc.)
Supply Chain Management
Manage the planning and execution of supply chain activities
AI Copilot
A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users
Customer Touchpoints
Identify specific interactions between customers and brands
eCommerce Management
Has a built-in eCommerce system or integrates with third-party systems to manage online sale of products
Integration Management
Identify which applications need to exchange data and enable these data connections
Invoice Management
Captures invoice data and maintains comprehensive records for auditing and reporting purposes
Retail Inventory Management
Tracking, organizing, and controlling retail inventory throughout the supply chain and sales process
Customizable Reports
Alter the layout and content of reports
Distributor Management
Managing salespeople/distributors who sell products for direct sales companies
Space Management
Manage occupancy and space utilization in facilities and buildings
Data Visualization
Graphical representation of data
Order Management
Manage and track customer orders for goods, investments, or any other purchases
Merchandising
The activity of promoting the sale of goods at retail
For eCommerce
Intended to be used by online stores
Retail Management
Manage sales in retail stores
For Retail
For Retail Stores
Retail auditing
Evaluation of retail operations to ensure outlets follow operational, merchandising, and compliance standards.
Brand Management
The process of developing, monitoring, and maintaining the brand value, reputation, and awareness across the target audience.
Data Classification
Grouping log entries based on similar attributes.
Sales Automation
Automate processes to manage leads, contacts, opportunities and sales activities
Collaboration Tools
Provides a channel for team members to share media files, communicate, and work together
Real-time Alerts
Receive notification of issues as soon as they occur
Data Governance
Collection of processes, policies, and standards to manage the storage & usability of enterprise data
Behavior Analytics
Track and analyze user behavior within a system or network