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About Seery

Seery is a sales forecasting and predictive analytics platform for revenue planning. It analyzes historical data, builds predictive models, and presents forecasts through dashboards and automated reports. Scenario planning tools help teams evaluate changes in pipeline or demand, while real-time updates keep projections current. Alerts notify teams when forecasts drift from targets or assumptions. Key capabilities: Sales forecasting with predictive models Historical trend analysis and scenario planning Custom dashboards and visual reporting Automated reports and real-time updates Data integration for forecasting inputs Best for: Sales and finance teams improving forecast accuracy.

Seery Details

Vendor
Qualia Data Sciences
Year Launched
Location
Mountain View, California, USA
Deployment
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Portuguese, Dutch, Russian, Chinese, Japanese, Korean.
Users
Sales Managers, Marketing Analysts, Data Scientists
Industries Served
Healthcare, Education, Finance, Retail
Tags
Artificial Intelligence, Sales Forecasting, Predictive Analytics

Seery's In-App Market Place

Does Seery have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

0

Mini Apps

Pricing Options

Free trial
Free version
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Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), JPY (¥), CAD (C$), AUD (A$), CHF (Fr), CNY (¥), INR (₹), MXN (Mex$)

Pros & Cons

  • Provides accurate sales forecasting using predictive analytics
  • Helps in identifying trends and patterns in sales data
  • Improves decision-making by providing insights into future sales performance
  • Enables businesses to make informed strategic decisions based on data-driven predictions
  • Facilitates better resource allocation and planning for sales teams
  • Steep learning curve for new users
  • Limited customization options for forecasts
  • Lack of integration with other software systems
  • High cost for small businesses
  • Not suitable for complex data analysis tasks

Seery's Support Options

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