Implementing the EDI 810 (Invoice) document in SPS Commerce

Implementing the EDI 810 (Invoice) document in SPS Commerce involves configuring the tool to map, transmit, and validate the EDI data according to trading partner requirements. Here’s a step-by-step guide:
---
### **Step 1: Gather Requirements**
1. **Understand Trading Partner Specifications**: Obtain the 810 EDI Implementation Guide (specifications) from your trading partner.
- Identify required segments, elements, and codes.
- Understand any validation rules or business-specific requirements.

2. **Define Business Rules**: Work with internal teams to outline the invoicing data flow and confirm all necessary data points are captured.

---
### **Step 2: Configure SPS Commerce Tool**
1. **Log in to SPS Commerce Fulfillment**:
- Access the web portal or integration tool provided by SPS Commerce.
- Ensure you have administrative privileges to configure document settings.

2. **Set Up Trading Partner Connection**:
- Navigate to the "Connections" or "Trading Partner Setup" section.
- Add or update the trading partner's profile to enable the 810 document type.

3. **Enable EDI 810 Document**:
- Locate the document setup menu for the trading partner.
- Select "810 Invoice" and ensure it is enabled.

4. **Map Data Fields**:
- Use SPS Commerce’s mapping tools to map your internal data (ERP or accounting system) to the 810 format.
- Map mandatory segments like **ST (Transaction Set Header)**, **BIG (Beginning Segment for Invoice)**, **N1 (Name)**, **IT1 (Invoice Line Items)**, and **TDS (Total Monetary Value Summary)**.

5. **Validate Mapping**:
- Perform test mapping for various scenarios (e.g., single item, multiple items, taxes, discounts).
- Ensure all required segments are mapped and optional ones are handled based on trading partner preferences.

---
### **Step 3: Test the Implementation**
1. **Generate a Test Invoice**:
- Create a sample invoice in your internal system.
- Export it to SPS Commerce.
2. **Run Mapping Validation**:
- Verify the data is translated into the correct EDI 810 format.
- Check the structure, syntax, and compliance with the trading partner’s specifications.
3. **Send Test EDI File**:
- Use the testing environment provided by SPS Commerce to transmit the 810 document to your trading partner. - Work with the trading partner to validate and troubleshoot any issues.

---
### **Step 4: Go Live**
1. **Confirm Trading Partner Approval**:
- After successful testing, obtain trading partner approval to go live.
2. **Enable Production Mode**:
- Switch the EDI 810 configuration from the test environment to production.
3. **Monitor Initial Transactions**:
- Closely monitor the first few live transactions for errors or discrepancies.
- Use SPS Commerce’s monitoring tools for error alerts and transaction tracking.

---
### **Step 5: Maintain and Update**
1. **Periodic Reviews**:
- Regularly review and update mappings to accommodate any trading partner updates or internal system changes.
2. **Error Resolution**:
- Use SPS Commerce’s error handling tools to address failed transactions.
- Work with support if needed.
3. **Expand Functionality**:
- As needed, implement additional documents (e.g., 850, 856) to enhance integration with your trading partner.
---
### Tools & Resources
- **SPS Commerce Documentation**: Reference guides and tutorials.
- **EDI Validator**: To check compliance.
- **Support Team**: Contact SPS Commerce for assistance during setup or troubleshooting.

Would you like detailed examples of specific 810 segments or mapping logic?

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Introducing a rate limiter feature in IBM Sterling Integrator allows for comprehensive API functionality without the need to invest in additional API tools.

To activate and integrate the rate limiter feature in Sterling Integrator for comprehensive API functionality, follow these steps.

To effectively deliver a service, it's essential to create a system that accepts input from clients and returns the appropriate output based on that input.

When we offer this service, it's important to pinpoint the client's IP address for any requests originating from outside our network.

To achieve the capability of identifying the client IP address within Sterling Integrator, we should adhere to the following steps.

To activate the Client IP feature, follow these steps:

First, include the property client_ip_correlation_enabled=false in the jdbc.properties_platform_ifcbase_ext.in file.
Next, execute ./setupfiles.sh.
This feature captures the IP address of the client that initiates the request.
Certain clients require this functionality to comply with regulatory standards.
Before you enable the Client IP feature, ensure that your firewall is configured to permit the IP address to pass through the Sterling External Authentication Server.

We will now verify the available rate limit for the customer associated with the given IP address.
As developers, we will save this information in our database. Each time a request is received, we will assess the rate limit for that partner.
If the request falls within the allowed rate limit, it will be forwarded to the appropriate API service.
Additionally, we can implement another check to monitor the number of requests made by the partner within a defined time frame. For instance, we could allocate a limit of 1,000 requests per hour for a specific partner based on their IP address.

To put this into action, we will track the number of requests made by the partner.

If any conditions fail, we will provide the relevant error code and description to the partner. They will need to rectify the issue by upgrading their subscription with the service provider.

When we integrate this functionality into Sterling Integrator, we can incorporate rate limiting within a generic process. If the result is positive, the request will then be directed to the appropriate API service business process.

I recommend implementing API capabilities in Sterling Integrator rather than using specific API tools for small and medium business who is already using Sterling Integrator for their EDI integrations .

Given the business capacity, Sterling Integrator can effectively expose API services to the external world. It offers robust error handling features and a clear understanding of error codes, making it particularly suitable for small and medium-sized businesses.

The Sterling Integrator Server offers enhanced functionality, equipped with a wider array of services and adapters, allowing us to implement simple functions without the need for coding.

Tracking requests and generating reports is a breeze with the Sterling File Gateway.

While this tool primarily focuses on managing EDI-based transactions, it can also be effectively utilized for API service implementations.

There is a wealth of Sterling technical resources available in the market.

One important consideration when using Sterling Integrator as an API endpoint is that it only supports XML-based transactions and requests, excluding JSON format. To address this limitation, we can create an alternative solution by leveraging the Java Task Service to develop a Java program that formats JSON.

1. One minor limitation of the API tools

currently on the market is that implementing any functionality requires coding in a language chosen by the organization or developer.

Maintaining this code can also pose challenges within the organization.

Should there be any updates or changes to the service in the future, it may necessitate hiring new personnel with expertise in the original programming language or rewriting the functionality in a different language altogether.

Additionally, as a centralized access point, an API serves as a gateway that can attract the attention of hackers. If an API is breached, it can expose all connected applications and systems to potential threats.

Workato Automation Tool and main capabilities when compare to other iPAAS tools like Dell Boomi

Dears
Good Day
Hope you are doing good.
I would like to share my recent achievement: yesterday, I successfully completed the Workato Automation Pro I tool certification as part of my efforts to enhance my skill set.
Some brief introduction about Workato Automation Tool ,
Workato is an automation tool that helps businesses connect different apps and systems without needing a lot of coding. It allows you to create workflows, called "recipes," that automate tasks like sending data from one app to another or triggering actions based on events. For example, it can automatically update a spreadsheet when a new order is placed or send an email when a project status changes. Workato works with many popular apps like Salesforce, Slack, and QuickBooks, making it easier to streamline work processes and save time on repetitive tasks.
This tool boasts enhanced security features compared to another iPaaS solution, Boomi. Additionally, it offers a unique capability to retain the failed steps of a process during unexpected system failures, automatically resuming process executions once the system restarts. This means there's no need for us to manually check whether we need to reprocess any failed processes.
#integration #EDI #B2B #Workato #Salesforce #Banking #Finance #IToperations #automation #QuickBooks #insurance #Retail #API #AI #IBM #boomi #ipaas #saas

LinkedIn Post Link: [Insert your LinkedIn post link here]

Workato Automation Tool brief description about Workato automation tool in layman words
Workato is an automation tool that helps businesses connect different apps and systems without needing a lot of coding. It allows you to create workflows, called "recipes," that automate tasks like sending data from one app to another or triggering actions based on events. For example, it can automatically update a spreadsheet when a new order is placed or send an email when a project status changes. Workato works with many popular apps like Salesforce, Slack, and QuickBooks, making it easier to streamline work processes and save time on repetitive tasks.

Write a BOT Application using JAVA to take the blog posts from Blogger website login and post that blog post in the Twitter channel on scheduled base

AI prompt : write a bot application using java to take the blog posts from blogger website login and post that blog post in the twitter channel on scheduled base

To create a bot application in Java that retrieves blog posts from Blogger, logs in, and posts those blog posts to a Twitter channel on a scheduled basis, you can follow these steps:
### Overview
1. **Fetch blog posts from Blogger**: Use the Google Blogger API to retrieve blog posts.
2. **Post on Twitter**: Use the Twitter API to post the content.
3. **Schedule the task**: Use a scheduler like `java.util.Timer` or Spring Scheduler to post the blogs at regular intervals.
4. **OAuth Authentication**: Handle OAuth authentication for both Blogger and Twitter.
### Dependencies
To get started, you'll need the following dependencies:
1. **Google Blogger API client**: To interact with Blogger.
2. **Twitter API client**: Use Twitter4J for Twitter API integration.
3. **Scheduler**: Use `java.util.Timer` or Spring for scheduling.
4. **OAuth Libraries**: You’ll need OAuth libraries for both Google and Twitter.
Here’s an example with these steps using Java:
### 1. Add Maven Dependencies
First, add the necessary dependencies to your `pom.xml`:
```xml
<dependencies><br/> <!-- Google API Client for Blogger --><br/> <dependency><br/> <groupId>com.google.api-client</groupId><br/> <artifactId>google-api-client</artifactId><br/> <version>1.32.1</version><br/> </dependency><br/> <dependency><br/> <groupId>com.google.apis</groupId><br/> <artifactId>google-api-services-blogger</artifactId><br/> <version>v3-rev64-1.25.0</version><br/> </dependency><br/> <!-- Twitter4J --><br/> <dependency><br/> <groupId>org.twitter4j</groupId><br/> <artifactId>twitter4j-core</artifactId><br/> <version>4.0.7</version><br/> </dependency><br/> <!-- Spring Framework for scheduling --><br/> <dependency><br/> <groupId>org.springframework</groupId><br/> <artifactId>spring-context</artifactId><br/> <version>5.3.10</version><br/> </dependency><br/> </dependencies><br/> ```<br/> ### 2. Configure OAuth for Google Blogger
You'll need to configure Google OAuth2 to fetch Blogger posts. You can get the credentials from the [Google Developer Console](https://console.developers.google.com/).
Here’s the code to authenticate and fetch the posts:
```java
import com.google.api.services.blogger.Blogger;
import com.google.api.services.blogger.model.Post;
import com.google.api.services.blogger.model.PostList;
import com.google.api.client.googleapis.auth.oauth2.GoogleCredential;
import com.google.api.client.http.javanet.NetHttpTransport;
import com.google.api.client.json.JsonFactory;
import com.google.api.client.json.jackson2.JacksonFactory;
import java.io.IOException;
import java.util.List;
public class BloggerAPIService {
private static final String APPLICATION_NAME = "BloggerPostBot";
private static final String BLOG_ID = "your-blog-id"; // Replace with your blog ID
private static Blogger bloggerService;
public static Blogger getBloggerService() throws IOException {
if (bloggerService == null) {
GoogleCredential credential = GoogleCredential
.fromStream(new FileInputStream("path/to/your/client_secret.json"))
.createScoped(Collections.singleton("https://www.googleapis.com/auth/blogger"));
bloggerService = new Blogger.Builder(new NetHttpTransport(), JacksonFactory.getDefaultInstance(), credential)
.setApplicationName(APPLICATION_NAME)
.build();
}
return bloggerService;
}
public static List getBlogPosts() throws IOException {
Blogger.Posts.List request = getBloggerService().posts().list(BLOG_ID);
PostList posts = request.execute();
return posts.getItems();
}
}
```
### 3. Post Blog Content on Twitter
You will need to configure Twitter OAuth keys (API Key, API Secret Key, Access Token, Access Token Secret) on the [Twitter Developer Platform](https://developer.twitter.com/).
Here’s how you can post the content using Twitter4J:
```java
import twitter4j.Twitter;
import twitter4j.TwitterException;
import twitter4j.TwitterFactory;
import twitter4j.conf.ConfigurationBuilder;
public class TwitterBot {
private static Twitter twitter;
public static Twitter getTwitterInstance() {
if (twitter == null) {
ConfigurationBuilder cb = new ConfigurationBuilder();
cb.setDebugEnabled(true)
.setOAuthConsumerKey("your-consumer-key")
.setOAuthConsumerSecret("your-consumer-secret")
.setOAuthAccessToken("your-access-token")
.setOAuthAccessTokenSecret("your-access-token-secret");
TwitterFactory tf = new TwitterFactory(cb.build());
twitter = tf.getInstance();
}
return twitter;
}
public static void postTweet(String content) {
try {
getTwitterInstance().updateStatus(content);
System.out.println("Successfully posted: " + content);
} catch (TwitterException e) {
e.printStackTrace();
}
}
}
```
### 4. Schedule the Posting
You can use `java.util.Timer` or Spring’s `@Scheduled` to post blogs at regular intervals.
Here’s an example using Spring’s Scheduler:
```java
import org.springframework.scheduling.annotation.Scheduled;
import org.springframework.stereotype.Component;
import java.util.List;
@Component
public class BloggerTwitterScheduler {
@Scheduled(cron = "0 0 * * * *") // Every hour
public void postBlogToTwitter() {
try {
List blogPosts = BloggerAPIService.getBlogPosts();
for (Post post : blogPosts) {
String content = post.getTitle() + "\n" + post.getUrl();
TwitterBot.postTweet(content);
}
} catch (Exception e) {
e.printStackTrace();
}
}
}
```
### 5. Main Class
```java
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.context.annotation.ComponentScan;
@SpringBootApplication
@ComponentScan(basePackages = {"your.package.name"})
public class BloggerTwitterBotApplication {
public static void main(String[] args) {
SpringApplication.run(BloggerTwitterBotApplication.class, args);
}
}
```
### 6. Application Properties
Add your application properties in `application.properties`:
```properties
spring.main.web-application-type=none
```
### 7. Running the Application
1. Obtain the necessary OAuth credentials for Google Blogger and Twitter.
2. Run the application, and it will fetch the blog posts and post them on Twitter on a scheduled basis.
---
This is a simplified version. You may want to add error handling, logging, and edge cases (e.g., duplicate posts, scheduling intervals).

LinkedIn Post Link: [Insert your LinkedIn post link here]

Detailed process of AI System Claims Management

AI-powered claims management systems are transforming the insurance and healthcare industries by automating and optimizing the claims process. Here’s a detailed breakdown of the process involved in AI system claims management:

### 1. **Data Collection and Ingestion**
- **Initial Data Capture**: The system collects all relevant data related to a claim. This includes information from various sources such as claim forms, medical records, invoices, images, and supporting documents.
- **Data Integration**: The system integrates data from different channels, such as emails, electronic health records (EHR), insurance databases, and customer portals. AI can also extract data from unstructured formats like PDFs or images using Optical Character Recognition (OCR).

### 2. **Claim Intake and Triage**
- **Automated Triage**: The AI system classifies and categorizes claims based on severity, complexity, and urgency. It assigns claims to the appropriate workflow or team for further processing.
- **Prioritization**: High-priority claims, such as those involving critical medical conditions or significant financial loss, are flagged for immediate attention.
- **Fraud Detection**: AI models analyze claims for patterns indicative of fraud. This includes checking for inconsistencies in the data, unusual billing patterns, or mismatches with historical data.

### 3. **Data Validation and Verification**
- **Cross-Verification**: The system cross-verifies the claim data against internal databases (e.g., policy details, prior claims history) and external sources (e.g., medical databases, third-party services) to ensure accuracy.
- **Automated Validation**: AI algorithms validate claim details, such as ensuring that the treatment or service claimed is covered under the policy, and that the claim amount is within permissible limits.
- **Anomaly Detection**: The system identifies and flags any anomalies or inconsistencies in the claim data that may require manual review.

### 4. **Claims Processing and Decision Making**
- **Automated Decision Engines**: The AI system uses predefined business rules, machine learning models, and historical data to make decisions on claim approvals, denials, or adjustments.
- **Policy Adherence**: The system ensures that decisions are aligned with policy terms, conditions, and coverage limits.
- **Natural Language Processing (NLP)**: For text-based claims (e.g., medical reports or customer statements), NLP algorithms extract relevant information and insights to aid in decision-making.

### 5. **Claim Adjudication**
- **Automated Adjudication**: Claims that meet all criteria are automatically adjudicated, resulting in faster processing times and reduced manual intervention.
- **Escalation for Review**: Complex or high-value claims, as well as those flagged by the system for potential issues, are escalated for manual review by claims adjusters.
- **Feedback Loop**: The system continuously learns from adjudication outcomes to improve its decision-making accuracy over time.

### 6. **Communication and Customer Interaction**
- **Automated Notifications**: The system generates and sends automated notifications to claimants about the status of their claims, required documentation, and next steps.
- **Chatbots and Virtual Assistants**: AI-powered chatbots provide real-time assistance to claimants, answering questions, guiding them through the claims process, and helping resolve issues.
- **Document Requests**: If additional information is needed, the system can automatically request documents or clarification from the claimant or other involved parties.

### 7. **Payments and Settlement**
- **Payment Processing**: Once a claim is approved, the AI system initiates payment processing, ensuring that the correct amount is disbursed to the right party.
- **Audit Trail**: The system maintains a detailed audit trail of the entire claims process, including decision-making steps, communications, and transactions.
- **Automated Adjustments**: If adjustments to the claim amount are necessary, the system calculates the appropriate adjustments and processes the payment accordingly.

### 8. **Post-Processing and Reporting**
- **Analytics and Reporting**: The system generates detailed reports on claims performance, processing times, payment accuracy, and fraud detection outcomes. These reports provide insights into operational efficiency and areas for improvement.
- **Regulatory Compliance**: AI ensures that all claims are processed in accordance with regulatory requirements. The system can automatically generate the necessary documentation for audits and compliance reviews.
- **Continuous Improvement**: Machine learning models are continuously updated with new data to enhance the accuracy and efficiency of the claims management process.

### 9. **Fraud Detection and Prevention**
- **Predictive Modeling**: AI systems use predictive analytics to identify potential fraud before it happens by analyzing patterns and behaviors associated with fraudulent claims.
- **Real-Time Alerts**: The system generates real-time alerts for suspicious claims, allowing investigators to take prompt action.
- **Machine Learning**: AI models are trained on vast datasets to recognize subtle signs of fraud that may not be apparent to human reviewers.

### 10. **Customer Experience Enhancement**
- **Personalization**: AI systems tailor communications and interactions based on the claimant’s profile, previous interactions, and preferences.
- **Proactive Service**: AI can proactively notify customers of potential issues or opportunities, such as identifying eligible claims that haven’t been filed yet or suggesting preventive measures to avoid future claims.

### Benefits of AI in Claims Management:
- **Efficiency**: AI significantly reduces the time required to process claims, leading to faster settlements and improved customer satisfaction.
- **Accuracy**: Automated validation and decision-making reduce errors and ensure consistent application of policy terms.
- **Cost Savings**: By automating routine tasks and detecting fraud early, AI systems help reduce operational costs and prevent financial losses.
- **Scalability**: AI systems can handle large volumes of claims simultaneously, making them ideal for large insurance companies and healthcare providers.
- **Enhanced Decision-Making**: AI augments human decision-making with data-driven insights, leading to more informed and fair outcomes.

AI-powered claims management systems enhance the efficiency, accuracy, and scalability of the claims process while providing a better experience for both customers and claims adjusters.

To set up sales reports using SPS Commerce for EDI, you need to ensure proper configuration of your EDI processes and reports to accurately reflect sales data

Here are the steps to create sales reports in SPS Commerce EDI tool

To set up sales reports using **SPS Commerce** for EDI, you need to ensure proper configuration of your EDI processes and reports to accurately reflect sales data. Below are detailed steps to guide you through the setup process:

### 1. **Data Integration Setup**
- **Identify Data Flow**: Determine what sales data is needed for reporting (e.g., purchase orders, invoices, inventory updates). Key documents include EDI 850 (Purchase Order), EDI 810 (Invoice), and EDI 867 (Product Transfer and Resale Report).
- **Establish Communication Channels**:
- Choose the communication method that works with your partners, such as **AS2, FTP, or VAN** (Value-Added Network).
- Ensure that your system is capable of sending and receiving EDI transactions. If you're using an ERP system like SAP, Oracle, or NetSuite, ensure it’s integrated with **SPS Commerce**.
- **Test Connectivity**: Perform end-to-end tests with trading partners to ensure EDI transactions are being sent and received properly. Use SPS Commerce’s testing tools to validate connectivity and document formats.

### 2. **Mapping Sales Data**
- **Identify Document Types**: For sales reporting, focus on key EDI document types:
- **EDI 850**: Purchase Order - Helps track orders placed by customers.
- **EDI 810**: Invoice - Details invoiced amounts and products sold.
- **EDI 856**: Advance Ship Notice - Helps track the shipments of goods.
- **EDI 867**: Product Transfer and Resale Report - Specific for reporting detailed product sales data back to the supplier.
- **EDI 846**: Inventory Inquiry/Advice - Track inventory levels for accurate sales reporting.
- **Data Mapping**: Work with your IT or EDI team to create mappings between the data in these documents and your internal business systems. Mapping ensures that each EDI field is correctly interpreted by your ERP, accounting, or CRM systems. SPS Commerce typically provides a mapping tool for this.
- **Customization**: You may need to customize mappings to reflect specific customer or supplier requirements, such as custom fields or non-standard data elements. Review your trading partner agreements for details.

### 3. **Report Configuration**
- **Define Reporting Requirements**: Define the scope of your sales reports, including the specific data points to track. For example:
- **Total Sales Volume**: Track the total amount of sales over a given period.
- **Sales by Region**: Break down sales by geographic region, if applicable.
- **Product Performance**: Track sales by product type or category.
- **Customer Segmentation**: Identify which customers are purchasing the most products.
- **Report Customization**:
- SPS Commerce’s platform includes reporting tools, often integrated with an **Analytics** module. Use these tools to create custom sales reports that pull data from multiple EDI documents.
- Choose report formats (e.g., Excel, PDF, or CSV) based on your business needs.
- Work with SPS Commerce’s support team to set up custom fields or filters that might be unique to your business.
- **Set Report Parameters**:
- Configure parameters such as time periods (e.g., daily, weekly, or monthly reports) and specific products or regions to track.
- You may also choose to set thresholds or alerts for certain key metrics (e.g., low stock levels or high sales volume).

### 4. **Scheduled and Automated Reports**
- **Set Up Recurring Reports**: Configure SPS Commerce to generate sales reports automatically on a recurring basis. You can set the frequency based on business requirements (e.g., daily, weekly, or monthly).
- **Automated Alerts**: If needed, set up automated notifications when certain thresholds are met (e.g., a sudden spike in sales or low inventory levels). These can help you take immediate action based on the data.

### 5. **Testing and Validation**
- **Run Sample Reports**: Before going live, run a few sample sales reports to ensure the data is accurate and the report format meets your needs. Check for:
- **Data Accuracy**: Ensure the report is correctly pulling sales data from EDI transactions and that no critical data is missing.
- **Report Structure**: Verify that the reports are structured correctly with proper headings, summaries, and filters.
- **Cross-check with Business Systems**: Cross-validate the EDI-generated reports with your ERP or internal systems to ensure consistency across all platforms.
- **Review with Stakeholders**: Share the reports with key stakeholders to get feedback and make any necessary adjustments to the report layout or data points.

### 6. **Live Reporting and Monitoring**
- **Go Live**: Once testing is complete and the reports meet your business requirements, implement them into your live environment.
- **Monitor Reports**: e monitor sales reports to ensure data integrity over time. Address any discrepancies immediately by working with your EDI and IT teams.
- **Adjust as Needed**: Sales reporting needs may evolve, so be prepared to adjust the report parameters or data mappings as your business grows or changes.

### 7. **Ongoing Maintenance**
- **Update Mapping and Configuration**: As trading partners update their EDI requirements or you onboard new ones, update the data mappings and report configurations.
- **New Document Types**: If new EDI documents are introduced or existing ones change (e.g., new fields in the EDI 867 for product resale reports), update your system accordingly.
- **Training**: Keep your team trained on how to interpret and utilize the sales reports generated by SPS Commerce. Also, ensure that your staff is aware of any new reporting capabilities or changes in the reporting process.

### 8. **Advanced Analytics (Optional)**
- If you need more in-depth insights beyond basic sales data, SPS Commerce offers advanced **Analytics** features:
- **Sales Trends Analysis**: Identify long-term sales trends and seasonal patterns.
- **Inventory Management**: Track inventory levels alongside sales data to ensure that stock levels are in line with demand.
- **Forecasting**: Use sales data to forecast future trends and adjust purchasing strategies accordingly.

By following these steps, you'll be able to set up comprehensive sales reports through SPS Commerce that provide valuable insights into your business’s sales performance.

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