7Learnings Features

Has a centralized dashboard for users to interact with

Provides a cloud based version of the platform

Contains tools to visalize data sets or workflows

Find important content or files using keywords, metadata, tags, etc.

Has a centralized dashboard for users to interact with

Self-monitors important metrics and sends notifications to users in-app or through email, text message or otherwise.

Graphical representation of data

Provides analytics tools that reveal important business metrics and track progress.

Connects to external systems and applications as needed to complete team workflows.

Is consistently available (uptime) and allows users to complete tasks reliably.

Allows flexibility for automatically adjusting prices of products or services based on real-time market conditions, competition, demand, or other factors.

Differentiates pricing by customer type, geography, products, services or sales channel.

Performs complex price calculations and delivers prices directly into front-end sales and commerce systems, such as CPQ tools, CRMs, ERPs, and eCommerce platforms.

Sets prices for new products, updates existing price lists or matrix pricing, and customer-specific pricing including discounts, rebates, and promotions.

Monitors price strategy of competitors to make informed pricing decisions.

Implements role-based controls and streamlines workflows automatically for approving price changes or exceptions.

Provides visualized reports or dashboards to analyze data of current pricing performance, trends, and opportunities.

Manages price lists to synchronize consistency across multi-channels, products, services, regions, and customer segments.

Calculate the price elasticity of demand by analyzing pricing and market data to find the most optimal price points

Has a built-in eCommerce system or integrates with third-party systems to manage online sale of products

Track and manage inventory levels to maintain proper supply

Track and manage the profit margin between the cost of a product and its selling price.

Design, communicate, and distribute incentives to perform a specific action

Capture, organize and track product-specific data and information in a centralized location

Active monitoring of systems, applications, or networks

Interact with data visualization elements, such as charts and graphs, to drill down into data

Predict future data based on historical data sets

Analyze and gain insights into data in real-time

View and track pertinent metrics to find patterns and gain insights from data

Allows ERP integration, and is flexible and easy to maintain.

Provides API's that can be used to easily integrate to other third party systems or software applications.

Allows CRM integration, and is flexible and easy to maintain.

Optimizes prices automatically from adapting to market changes, analyzing historical data, and predicting outcomes of various pricing scenarios for maximizing revenue.

Offers personalized prices and promotions to different customer segments based on their individual preferences, behavior, or purchase history.

Provides intelligent pricing insights and analysis with data-driven recommendations.

Assess and optimize pricing markdowns, special offers, or other promos

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Enable businesses to implement machine learning algorithms on business data such as sales and revenue

Set up connections to third-party platforms to improve business processes

Compare key metrics for the business against prominent players in the industry

Track visitors'/audience's responses across web pages and other optimized content

Evaluate the degree to which business operations bring monetary gains

Receive data and information in real time

Review data from past periods to reveal recurring tendencies and predict future performance

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Record customer information, purchase history, and other notes

AI-driven algorithms that allow for automatic repricing in real-time

Use simulation models and scenario planning to predict and compare strategy outcomes for prices and promotions

Reports specific to sales analysis for trends and strategies

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Analyze the current state of sales data to accurately understand trends and forecast future sales numbers.

Form predictions based on past and present data/trends

Collect & analyze data from multiple sources to get insights into competing products, customer behavior, pricing & marketing strategies

Create custom predefined rules for prices for products and services

Manage and handle various international currencies

Present a catalog of inventory that customers can view

Monitor and compare prices for competing products

Import and export data to and from software applications

Estimate of expected sales revenue within a specific time frame, such as quarterly, monthly or yearly based on past trends and reports.

Use AI to generate content in the form of text, images, videos, etc.

At a high level, visualize a preferred outcome, define goals and identify specific steps to achieve them

Search and filter data across systems to locate required information by entering keywords or certain criteria

Analyze and calculate business costs

Develop potential scenarios to identify risks and opportunities

Form predictions for optimal prices based on past and present data (market data, competitor products, special events, weather, etc.)

Create unique pricing based on product, store, geography, or customer segmentation

Manage multiple teams and operations from a central location

Alter the layout and content of reports

Compare key metrics for the business against prominent players in the industry

Track visitors'/audience's responses across web pages and other optimized content

Evaluate the degree to which business operations bring monetary gains

Receive data and information in real time

Review data from past periods to reveal recurring tendencies and predict future performance

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Record customer information, purchase history, and other notes

AI-driven algorithms that allow for automatic repricing in real-time

Use simulation models and scenario planning to predict and compare strategy outcomes for prices and promotions

Reports specific to sales analysis for trends and strategies

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Analyze the current state of sales data to accurately understand trends and forecast future sales numbers.

Form predictions based on past and present data/trends

Collect & analyze data from multiple sources to get insights into competing products, customer behavior, pricing & marketing strategies

Create custom predefined rules for prices for products and services

Manage and handle various international currencies

Present a catalog of inventory that customers can view

Monitor and compare prices for competing products

Import and export data to and from software applications

Estimate of expected sales revenue within a specific time frame, such as quarterly, monthly or yearly based on past trends and reports.

Use AI to generate content in the form of text, images, videos, etc.

At a high level, visualize a preferred outcome, define goals and identify specific steps to achieve them

Search and filter data across systems to locate required information by entering keywords or certain criteria

Analyze and calculate business costs

Develop potential scenarios to identify risks and opportunities

Form predictions for optimal prices based on past and present data (market data, competitor products, special events, weather, etc.)

Create unique pricing based on product, store, geography, or customer segmentation

Manage multiple teams and operations from a central location

Alter the layout and content of reports