Last Updated
Overview
7Learnings is an AI-powered solution that uses advanced machine-learning algorithms to help retail businesses price products accurately. Since the software is constantly being developed, updates can cause minor technical problems. However, its data-driven approach optimizes pricing decisions and ensures businesses see an uplift in revenue.
Overall Rating
Based on 7 users reviews
4.6
Rating Distribution
Positive
100%
Neutral
0%
Negative
0%
Starting Price
Custom
7Learnings Specifications
- Sales Orders
- Invoicing
- Sales Tracking
- Customer Relationship Management (CRM)
What Is 7Learnings?
7Learnings helps retailers increase profits by 10 percent with a SaaS predictive pricing solution. Its machine learning technology accurately forecasts demand for different price points, allowing you to optimize pricing based on your own business goals. By minimizing manual calculations and leveraging data-analysis techniques, 7Learnings accounts for product cost, competitor pricing, customer price sensitivity, weather, seasonality, and additional factors to make accurate predictions that drive sales channels.
7Learnings Pricing
7Learnings Integrations
7Learnings seamlessly integrates with all your data sources and provides over 140 connectors.
Who Is 7Learnings For?
The software is used by companies in the following industries, sectors, and specialties:
- Retailers
- E-commerce businesses
- Amazon Sellers
- B2B companies
Is 7Learnings Right For You?
7Learnings is a top choice among retailers who want to automate the pricing process using data-based analysis. It’s AI-based strategy guarantees sales results and works well for brands, retailers, and B2B businesses across various industries.
Still unsure if 7Learnings is the right fit for your business? Contact us at (661) 384-7070 and our team of experts will reach out to answer all your queries.
7Learnings Features
Rule-Based Pricing
Users can set prices according to predefined rules, ensuring consistency in pricing strategies. It utilizes data regarding competitor pricing to ensure products are appropriately priced based on market standards.
Predictive Pricing
The predictive pricing model incorporates price elasticity into its calculations, enabling businesses to understand how price changes affect consumer demand. The machine learning model forecasts the impact of price changes on company profit, revenue and sales. Additionally, it considers and cross optimizes marketing decisions, such as the use of coupons, promotions, and performance marketing.
Developer Portal
The 7Learnings platform analyzes a wide array of data from online marketplaces such as Amazon and Google Shopping, including competitor prices, past price changes, and various external factors to inform pricing decisions. The developer portal facilitates seamless integration with all your data sources, drawing information about sales channels, transactions, price changes, product attributes, stock availability, and marketing analytics straight from the source.
Chanel-Specific Pricing
The software supports pricing strategies tailored to different sales channels, including country or region-based specificity. This allows the model to generate appropriate pricing strategies based on the specific demand in each sales channel.
7Learnings Reviews
Total 7 reviews
4.6
All reviews are from verified customers
Rating Distribution
5
Stars57%
4
Stars43%
3
Stars0%
2
Stars0%
1
Stars0%
Share your experience
Alexander H.
Retail, 500+ employees
More than a year
“Flexible price setting”
Pros
This tool has been very effective for us when it comes to adjusting prices dynamically to market changes and competitive conditions. Since introducing it, we've seen clear improvements in the key metrics that matter to us. Data integration is simple and works through predefined formats which keeps setup and maintenance manageable. With daily data exports, the system is always working with up-to-date information and produces realistic forecasts. The interface is clean, well structured and simple to use. The revenue and profit predictions were also validated in our internal A/B tests and in some cases they even performed better than expected.
Cons
One limitation is that the logic behind the calculated prices is not fully transparent in the frontend which makes internal follow-up questions harder to answer. Setting fixed prices for promotions or individual products also involves a fairly high amount of manual effort. At the moment there is no consolidated view of all products that would allow manual price adjustments in one place.
Rating Distribution
Ease of use
10
Value for money
10
Customer Support
10
Functionality
10
Zoltan W.
Automotive, 500+ employees
More than a year
“Fantastic software”
Pros
Seeing the A/B testing outcomes was really encouraging. It played a big part in helping us reach our goal of improving our target numbers.
Cons
The results can get skewed in segments where sales data is limited. It also needs a large amount of historical sales data to deliver accurate insights.
Rating Distribution
Ease of use
10
Value for money
10
Customer Support
10
Functionality
10
Anonymous
Retail, 11-50 employees
More than a year
“easy to explore”
Pros
It stood out for its data-driven insights and automation. It is simple to navigate and gives clear recommendations that make pricing decisions much easier and more informed.
Cons
When handling a large amount of data across many sales channels, the optimization process can occasionally take longer than I expect.
Rating Distribution
Ease of use
10
Value for money
10
Customer Support
10
Functionality
10