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Business Intelligence for Ecommerce

A Full Overview

ScienceSoft applies 18 years of experience in BI and 20 years in ecommerce software development to help businesses build effective analytics solutions to get fast and intuitive insights on customer behavior, marketing campaigns, pricing strategies, product portfolio, and more, for consistent business growth and profitability.

Ecommerce Business Intelligence - ScienceSoft
Ecommerce Business Intelligence - ScienceSoft

Ecommerce BI: The Essence

Ecommerce business intelligence (BI) provides insights on sales, marketing, fulfillment, inventory management, finance, customer support, and other aspects of an ecommerce business. It can enable analytics of different complexity: from tracking basic KPIs like a conversion rate and average order value to ML-powered optimization suggestions for marketing campaigns, product portfolio, and more.

  • Main integrations: ecommerce platform, CRM, inventory management software, ecommerce fulfillment software, payment gateways, and more.
  • Users: managers and specialists in sales, marketing, customer support, inventory, and merchandising; financial analysts.
  • Implementation costs: $50,000–$1,000,000, depending on a solution’s complexity, number of integration and data sources, advanced capabilities, and more.
  • ROI: up to 130% in three years after solution implementation.

Key Features of an Ecommerce BI Solution

At ScienceSoft, we develop reliable ecommerce intelligence solutions tailored to our customers’ needs. Below, ScienceSoft’s consultants list the features that are most frequently demanded by our ecommerce clients.

Ecommerce data processing and storage

  • Automated ingestion of structured and unstructured data (e.g., customer data, transaction history, inventory levels, social media activity) from internal and external data sources.
  • Cost-effective storing of all data types in a data lake.
  • Automated unification and cleansing of all data formats, including text, video, and images.
  • Aggregation of all data in a highly structured data warehouse ready to be used for historical analytics.
  • Batch and real-time ecommerce data processing.
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  • Automated customer segmentation per gender, age, geographical region, etc.
  • Calculating customer-related KPIs: CSAT churn rate, repeat customers, customer lifetime value, etc.
  • Analyzing customer behavior: e.g., best traffic-generating channels, page-scrolling patterns, most frequently opened pages.
  • Identifying the most profitable customer segments and lookalike audiences for efficient targeting.
  • Spotting customer service or product flaws: late shipment, complaints, returns.
  • Analyzing payment patterns: percentage of payment retries after failure, number of filed chargebacks, etc.
  • Analyzing user-generated content (e.g., product reviews, social media comments).
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  • Tracking of sales KPIs: sales growth rate, daily sales outstanding, average purchase value, etc.
  • Analyzing sales performance per customer segment, brand, in-app/in-browser purchases, etc.
  • Predicting sales per customer, product, campaign, brand, etc.
  • Tracking product/brand/SKU performance metrics: traffic attraction, penetration rate, etc.
  • ML-powered range planning.
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Pricing analytics

  • Price sensitivity calculation.
  • Identifying underpriced/overpriced goods, missed upselling opportunities, etc.
  • Dynamic price optimization depending on elasticity, competitors’ prices, season, markdown strategies, etc.
  • Automated calculation of price decrease amounts for discount and markup strategies optimization.
  • AI-powered suggestions on personalized discounts based on the analysis of customer purchase history.
  • Identifying and setting a free shipping threshold.
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Ecommerce marketing analytics

  • Analyzing the performance of marketing channels and activities.
  • Identifying product affinity in order to shape upselling and cross-selling strategies.
  • Developing loyalty programs based on continuous customer behavior analysis.
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  • Calculation of the supplier quality index and other KPIs to choose the most reliable suppliers.
  • Getting insights into supply chain performance: e.g., cash-to-cash cycle, perfect order rate.
  • What-if analytics to predict possible supply chain disruptions and mitigate risks.
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Inventory management analytics

  • Automated monitoring of inventory categories: low-stock, on-hand, aged, perishable, etc.
  • Automated calculation of inventory-related metrics: inventory turnover rate, out-of-stock bounce rate to identify the best-selling and underperforming units.
  • ML-powered demand prediction for multi-echelon inventory optimization and over-stock/out-of-stock prevention.
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Ecommerce fulfillment analytics

  • Dynamic monitoring of order lifecycle stages: drop, packed, in transit, delivered, etc.
  • Analyzing historical data (orders per customer segment, SKU, brand, etc.).
  • Tracking fulfillment KPIs (e.g., order picking accuracy, order picked per hour, on-time shipping rate).
  • AI-powered forecasting of order fulfillment demand.
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  • Visual data representation via easily customizable charts, graphs, maps, and diagrams.
  • Interactive data exploration with filtering, slicing, dicing, up and down drilling capabilities.
  • Customizable dashboards that are convenient and secure for collaborative use.
  • Self-service capabilities that enable the creation of complex visuals and reports without any technical skills.
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Check the Insights You Can Get with Ecommerce Intelligence

Get accurate insights into how customers interact with your products at all shopping stages to adjust and improve your engagement and retention strategies

Analyze customer lifetime value to identify and target the most profitable customer segments

Understand what influences customer churn, identify churn likelihood, and get other valuable insights to enhance customer retention

Get detailed information on your current and forecasted sales across all locations and customer segments to optimize sales strategies

Segment your sales by channels to identify and further develop the most profitable sales directions

Get a 360-degree view of your store performance in a single dashboard

Continuously track all the essential KPIs to enable efficient supplier management, including timely risks identification

Get data-driven insights into inventory management processes to efficiently balance supply and demand

Build a Reliable Ecommerce BI Solution with ScienceSoft

ScienceSoft’s team is ready to assist you in building a robust business intelligence solution that will help turn your ecommerce data into a reliable driver of sales growth.

Essential Integrations for an Ecommerce BI Solution

ScienceSoft recommends establishing the following integrations to get a holistic view of ecommerce performance and streamline data-driven decision-making:

Integrations for an Ecommerce BI Solution - ScienceSoft

  • To analyze customer online behavior and optimize marketing, cross-selling, and other activities based on the acquired insights.
  • To offer personalized suggestions to each customer based on their preferences.
  • To streamline customer segmentation for marketing campaigns.
  • To calculate customer-related metrics: engagement, satisfaction, profitability rates.
  • To identify issues affecting customer satisfaction.
  • To assess marketing campaign performance and get optimization insights (identifying the most profitable markdown strategies, forecasting the efficiency of targeted promotional activities, etc.).

Social media

  • To understand customer sentiment towards different products/brands.
  • To assess and increase brand awareness.
  • To identify major influencers across particular brands and products.
  • To minimize inventory-related costs and optimize stock levels.
  • To analyze supplier performance and choose the most efficient and reliable suppliers, determine the top-performing products by supplier.
  • To identify optimal order fulfillment locations and shipment routes and increase customer satisfaction.
  • To get insights on time, methods, and frequency of payments in order to identify customer spending habits.

Success Factors for Ecommerce BI

Combining 18 years of experience in BI and 20 years in building solutions for ecommerce, ScienceSoft outlines the key factors that determine the success of an ecommerce BI solution.

Maximized automation

To eliminate manual ecommerce data input from multiple sources and report generation.

User-friendly report generation

To allow users with any level of technical skills create or customize clear and impactful dashboards with filtering and drill-down capabilities.


To cope with an increasing load (temporary during, e.g., special events and permanent as your business grows).

Ecommerce BI Costs and Benefits

The cost of implementing business intelligence for ecommerce may vary from $50,000 to $1,000,000*, depending on the solution complexity, the diversity of integrations, data types, the requirements for data quality, the scope of advanced capabilities, and more.


Basic ecommerce BI solution that:

  • Enables the analysis of basic ecommerce KPIs like sales per period and average order value.
  • Integrates with the key data sources like an ecommerce portal.


Ecommerce BI software of medium complexity that:

  • Enables the analysis of key metrics across multiple ecommerce facets: sales, inventory, fulfillment, marketing, etc.
  • Integrates with key corporate software (an ecommerce portal, CRM).
  • Provides basic ML capabilities.


Advanced ecommerce BI solution that:

  • Enables AI-powered analysis and forecasting of all required ecommerce metrics.
  • Provides prescriptive analytics for product, price, marketing, CX, and supply chain optimization.
  • Integrates with multiple back-office systems.
  • Instantly collects and processes ecommerce-relevant data from all available channels, including social networks and competitor websites.

Get a Clear Picture of Your Ecommerce BI Budget!

ScienceSoft’s consultants will be glad to estimate the cost of your ecommerce BI solution.

Get a quote

*Software license fees are not included.

With an ecommerce BI solution, e-selling companies can achieve up to 130% ROI in 3 years after implementation. Other benefits include:

  • Up to 30% revenue increase due to data-driven customer behavior analysis and ecommerce service personalization.
  • 40%+ reduction in customer calls volume due to BI insights on customer experience improvements.

Off-the-Shelf vs. Custom Ecommerce BI Software

Even though there are several reputable out-of-the-box software options currently on the market, sometimes custom development is the most cost-effective way to fully address your analytics requirements.

In the table below, our consultants compare popular market-available software and a custom solution.

SAP BusinessObjects Business Intelligence

Oracle Business Intelligence

Microsoft Power BI

Custom solution

Basic ecommerce BI capabilities

Tracking ecommerce KPIs (e.g., average order size, sales per day, and other basic metrics); data visualization and reporting.

Advanced visualization capabilities

Creating visuals with dynamic content, unlimited dimensions, and linked visualizations (e.g., cluster maps, violin plots, scatter plot matrices).

The capabilities are limited in terms of visualization types and dimensions number.

The capabilities are limited in terms of visualization types and dimensions number.

The capabilities are limited in terms of visualization types and dimensions number.

Advanced analytics

Based on ScienceSoft’s assessment.

Main criteria: AI-powered analysis of large amounts of data (e.g., for customer segmentation across unlimited number of categories); diversity of pre-built ML models, and the ease of new model creation and deployment.






With an ecommerce platform and other business systems.

Native: with other SAP products.

Via SAP Translator Program or RFC interface: with third-party software.

Native: with other Oracle products.

Via Oracle connectors: with third-party software.

Native: with Microsoft products.

Via APIs: with third-party software.

Seamless integration with any required business solution (including legacy software) and third-party systems.


Based on ScienceSoft’s expert assessment. Main criteria: the availability of basic cybersecurity mechanisms (data encryption, role-based user control, user authentication).





Regulatory compliance

Ability to meet the relevant global and local ecommerce data protection standards, e.g., CCPA, PCI DSS, FTCA, GDPR (for the EU).

Compliance with global data security standards.

Compliance with global data security standards.

Compliance with global data security standards.

Compliance with all required global and regional ecommerce data protection regulations.

Ease of use

Based on ScienceSoft’s expert assessment.

Main criteria: Self-service capabilities and learning curve.





Pricing 50 users/ 3 years of use

Upon request to the vendor

Expect to pay initial setup fees + configuration, customization, and integration fees + maintenance and support fees.

~$370,000 depending on the use of data integration functionality.

NB: Updates and maintenance costs as well as analytics server administrator rights fees are not included.

$200,000 with data-sharing rights for all users.

NB: may require updates and maintenance costs.

Upfront investments of $50,000$1,000,000, depending on solution complexity.

Unlimited number of users, integrations, and any required advanced capabilities included.

No additional fees.

Do You Need a Custom Ecommerce BI Solution?

Answer a few simple questions and find out whether you should opt for a custom-made solution.


Tell us more about your needs

Please answer at least one question to help us better understand your business objectives.

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A custom ecommerce BI solution is your best choice

Looks like market-available ecommerce BI tools don’t fit your specific business requirements and won’t be able to provide all the expected benefits or drive high ROI. Turn to ScienceSoft to get a consultation on custom ecommerce BI software development and receive cost and feasibility estimates.

Talk to us

Off-the-shelf ecommerce BI software will work for you

Looks like market-available ecommerce BI solutions are a viable option to meet your data analytics needs. Turn to ScienceSoft if you need expert advice on ready-made BI tools, their implementation, customization, or integration with your corporate systems.

Get assistance

Consider ScienceSoft’s Services to Implement Your Ecommerce BI Solution

Consulting on ecommerce BI

We will recommend BI functionality and integrations for your case, design architecture, select the tech stack, and give expert advice on security and compliance. You also get a detailed project plan with exact cost and ROI estimates and a risk mitigation plan.

I need this!

Implementation of ecommerce BI

We can design and promptly deliver a secure, scalable BI solution that is tailored to your business specifics and can be easily adjusted in the future. To ensure high user adoption and smooth software evolution, we are ready to offer long-term solution support and maintenance.

I need this!

About ScienceSoft

ScienceSoft is an IT consulting and software development company headquartered in McKinney, Texas. Since 2003, we help ecommerce companies build robust BI solutions to get fast and intuitive insights on customer behavior, marketing campaigns, pricing strategies, product portfolio, and more. We have developed mature quality and security management systems approved by ISO 9001 and ISO 27001 to provide our clients with world-class software and guarantee full data protection.