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7Learnings
Berlin, Germany
What it is
7Learnings helps retailers optimize pricing, performance marketing, and ordering decisions around business goals. Its machine-learning software forecasts how pricing choices may affect profit, revenue, sales, and inventory, then recommends prices aligned with retailer targets. Forecasts use historical transactions, product attributes, seasonality, competitor information, and marketing data. The pricing models are trained daily and adapt as new transactions and other data arrive. For marketing, the platform predicts product-level profit and revenue impacts and can allocate products across ad groups toward ROAS or CPC targets. AI-driven reorder suggestions are intended to improve product availability and reduce markdowns. Data exchange can use files, cloud storage, direct connections, and APIs; named integrations include Shopify, Google Cloud, Tradebyte, and commercetools. The service is available through web and API. 7Learnings says full integration and ROI typically take three to four months and require two to four weeks of IT effort. The company states that it is SOC 2 Type II and ISO 27001 certified, with client data deployed in dedicated Google Cloud projects and encrypted in transit and at rest. Pricing is available on request.
For and against
For
- Forecasts pricing effects on profit, revenue, sales, and inventory.
- Models adapt to incoming data and are trained daily.
- Offers marketing optimization and AI reorder suggestions.
- Lists over 140 connectors.
Against
- Pricing is available on request.
- Full integration and ROI typically take three to four months.
- Implementation requires two to four weeks of IT effort.
The verdict
7Learnings brings pricing, marketing, and ordering optimization together for retail workflows. Retailers should factor in the stated implementation timeline and request pricing before deciding whether it fits.
Who it suits
7Learnings is for retailers seeking data-driven price recommendations, marketing optimization, or reorder suggestions. Its listed use cases include fashion, home and living, electronics, spare parts, and pharmaceuticals.
Plans and prices
7Learnings
Pricing requires a demo request; no subscription price is published on the page.
Read 30 Sep 2026 · 7learnings.com
On the record
- Automatic learning
- The pricing algorithm adapts to new transactions and its models are trained daily.7learnings.com · read 30 Sep 2026
- Data/API support
- The developer documentation describes input data specifications, data APIs, price and marketing changes, and optimization rules.7learnings.com · read 30 Sep 2026
- Data exchange
- Data exchange is usually through CSV or parquet files over SFTP, HTTPS, S3, or GCS, with direct connections to Snowflake, BigQuery, or AWS projects and APIs for Google Analytics and Amazon.7learnings.com · read 30 Sep 2026
- Data isolation
- The security page says each client is deployed in a dedicated Google Cloud project with client-specific isolation across product components.7learnings.com · read 30 Sep 2026
- Data security
- The company says each client is deployed in a dedicated Google Cloud project and data is encrypted in transit and at rest using customer-managed keys.7learnings.com · read 30 Sep 2026
- Demand forecasting
- The software analyzes historical transactions, product attributes, seasonality, competitor data, and marketing data to forecast pricing performance.7learnings.com · read 30 Sep 2026
- Deployment
- 7Learnings states that full integration and ROI typically take 3 to 4 months and require 2 to 4 weeks of IT effort.7learnings.com · read 30 Sep 2026
- Encryption
- The security page says data is encrypted in transit and at rest and that it uses customer-managed encryption keys.7learnings.com · read 30 Sep 2026
- Implementation
- The company says full implementation is targeted after three months, with the first marketing optimizations going live after six weeks.7learnings.com · read 30 Sep 2026
- Integrations
- The developer portal says the service provides over 140 connectors; named partners and integrations include Shopify, Google Cloud, Tradebyte, and commercetools.7learnings.com · read 30 Sep 2026
- Intended customers
- The company describes its solution for retailers and lists use cases across fashion, home and living, electronics, spare parts, and pharmaceuticals.7learnings.com · read 30 Sep 2026
- Marketing and ordering
- The platform also offers performance marketing optimization and AI-driven reorder suggestions to coordinate marketing spend, product availability, and markdown reduction.7learnings.com · read 30 Sep 2026
- Marketing optimization
- The performance marketing product predicts product-level profit and revenue impacts and can optimize product allocation across ad groups to ROAS or CPC targets.7learnings.com · read 30 Sep 2026
- Ordering optimization
- The product offers AI-driven reorder suggestions intended to improve product availability and reduce markdowns.7learnings.com · read 30 Sep 2026
- Price optimization
- Its machine learning software forecasts how pricing decisions affect profit, revenue, sales, and inventory, then recommends prices aligned with retailer targets.7learnings.com · read 30 Sep 2026
- Pricing forecasts
- Its machine learning models forecast how price decisions affect profit, revenue, sales, and inventory using internal and external data.7learnings.com · read 30 Sep 2026
- Privacy
- The company says it processes personal data in accordance with GDPR and applies data minimization principles.7learnings.com · read 30 Sep 2026
- Purpose
- 7Learnings helps retailers automatically optimize pricing, marketing, and ordering decisions toward business goals.7learnings.com · read 30 Sep 2026
