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Quality Cockpit

The Quality Cockpit evaluates your overall data quality score, the elasticity score of the product and the model’s accuracy.

Data Quality Recommendations

Data quality, in general, is the measure of how well-suited a data set is to serve its specific purpose. The score here informs the quality of the input data. SYMSON provides advice on where more work is needed, in terms of quantity, variance or correlation. To become a data-driven company, you need proper data quality in order to use big data and AI recommendations.

Verify Results and Effectiveness of pricing strategies

Demonstrate the ROI of SYMSON with data

Gain more margin by implementing AI Prices

Algorithm Quality Score

This feature shows you the quality of the model itself, i.e, how accurate the recommendations are and if it is a validated result for the given data set.

Get valuable insights into your pricing process

Optimise Prices using AI Recommendations

Notifications

Our system measures the historical pricing data from of your database and uses this data to notify you about specific patterns and trends.

Track changes in supplier costs

Track Competitor Prices

Use Competitor prices to find optimal market position

Gain marketshare using competitive pricing strategy

Data Lake

Our data lake centralises all your relevant and historical pricing data. The API, marketplace and validator enable easy connectivity of your systems, as well as your external and competitor data.

Understand SYMSON’s pricing logic

Modify prices to better capture value.

Identify trends from sales history

Stay informed on market trends

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Quality Cockpit

The Quality Cockpit evaluates your overall data quality score, the elasticity score of the product and the model’s accuracy.

PRICING LOGIC

Data quality, in general, is the measure of how well-suited a data set is to serve its specific purpose. The score here informs the quality of the input data. SYMSON provides advice on where more work is needed, in terms of quantity, variance or correlation. To become a data-driven company, you need proper data quality in order to use big data and AI recommendations.

Verify Results and Effectiveness of pricing strategies

Demonstrate the ROI of SYMSON with data

Gain more margin by implementing AI Prices

This feature shows you the quality of the model itself, i.e, how accurate the recommendations are and if it is a validated result for the given data set.

Get valuable insights into your pricing process

Optimise Prices using AI Recommendations

Our system measures the historical pricing data from of your database and uses this data to notify you about specific patterns and trends.

Track changes in supplier costs

Track Competitor Prices

Use Competitor prices to find optimal market position

Gain marketshare using competitive pricing strategy

Our data lake centralises all your relevant and historical pricing data. The API, marketplace and validator enable easy connectivity of your systems, as well as your external and competitor data.

Understand SYMSON’s pricing logic

Modify prices to better capture value.

Identify trends from sales history

Stay informed on market trends

  • Data Quality Recommendations

    Data quality, in general, is the measure of how well-suited a data set is to serve its specific purpose. The score here informs the quality of the input data. SYMSON provides advice on where more work is needed, in terms of quantity, variance or correlation. To become a data-driven company, you need proper data quality in order to use big data and AI recommendations.

    Verify Results and Effectiveness of pricing strategies

    Demonstrate the ROI of SYMSON with data

    Gain more margin by implementing AI Prices

  • Algorithm Quality Score

    This feature shows you the quality of the model itself, i.e, how accurate the recommendations are and if it is a validated result for the given data set.

    Get valuable insights into your pricing process

    Optimise Prices using AI Recommendations

  • Notifications

    Our system measures the historical pricing data from of your database and uses this data to notify you about specific patterns and trends.

    Track changes in supplier costs

    Track Competitor Prices

    Use Competitor prices to find optimal market position

    Gain marketshare using competitive pricing strategy

  • Data Lake

    Our data lake centralises all your relevant and historical pricing data. The API, marketplace and validator enable easy connectivity of your systems, as well as your external and competitor data.

    Understand SYMSON’s pricing logic

    Modify prices to better capture value.

    Identify trends from sales history

    Stay informed on market trends

Data Quality Recommendations

Data quality, in general, is the measure of how well-suited a data set is to serve its specific purpose. The score here informs the quality of the input data. SYMSON provides advice on where more work is needed, in terms of quantity, variance or correlation. To become a data-driven company, you need proper data quality in order to use big data and AI recommendations.

Verify Results and Effectiveness of pricing strategies

Demonstrate the ROI of SYMSON with data

Gain more margin by implementing AI Prices

Algorithm Quality Score

This feature shows you the quality of the model itself, i.e, how accurate the recommendations are and if it is a validated result for the given data set.

Get valuable insights into your pricing process

Optimise Prices using AI Recommendations

Notifications

Our system measures the historical pricing data from of your database and uses this data to notify you about specific patterns and trends.

Track changes in supplier costs

Track Competitor Prices

Use Competitor prices to find optimal market position

Gain marketshare using competitive pricing strategy

Data Lake

Our data lake centralises all your relevant and historical pricing data. The API, marketplace and validator enable easy connectivity of your systems, as well as your external and competitor data.

Understand SYMSON’s pricing logic

Modify prices to better capture value.

Identify trends from sales history

Stay informed on market trends