July
July
What’s New in Daton?
This section includes:
Platform and Connector Enhancements: Find out how we have optimized your process flows, fixed the bugs that irritated you, and advanced the performance of the most loved connectors.
New Connectors: Our library is growing by leaps and bounds every day; see the ones recently added that will allow you to unite Daton with an even greater number of data sources.
Platform Enhancement
Platform Optimisation: We have improved database performance of our platform by re-architecting our databases for improved availability and performance. User benefit from these changes to improve performance on job schedule and responsiveness of the user interface.
Alerts: The Alerts Panel in Daton acts as a one-stop shop for managing integration issues, streamlining the identification and resolution of problems. This feature is particularly beneficial for users dealing with a considerable number of integrations, as it saves valuable time in your data management workflow. Alerts are automatic messages that notify you about failing tables, integration errors, or warnings, providing clear resolution guidance.
To learn more about alerts, read: Daton Alerts
Connector Enhancements
Amazon DSP (Revamp)
- We have moved to the latest V3 API version.
- We have also added a functionality that allows users to select brands during the integration setup process. This functionality resolves the limitation where DSP can only fetch up to 100 brands at a time
- For detailed information, refer to the updated Daton documentation: Amazon DSP - Essential Attributes and Supported Tables.
Amazon Selling Partner and Vendor Central
- We have upgraded our system to better manage Amazon report statuses, including "inqueue," "fatal," "inprogress," and "cancelled." Previously, the system would retry fetching data a limited number of times before moving on, which sometimes led to missed data.
- The new feature addresses this issue by storing reports with statuses such as "inqueue," "fatal," "inprogress," and "cancelled" and then retrying to fetch the data from the backend.
- If we successfully retrieve data after retrying, the report is automatically removed from the stored list. If the status remains unchanged after retrying, the report stays in the stored list for further attempts. This process helps us handle errors from Amazon and ensures that we can fetch the data effectively.
Shiphero
- Added support for inventory_snapshot table:
Table Name |
Details |
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inventory_snapshot |
Inventory_ snapshot captures the snapshot of the warehouse inventory you mention in the integration.
The data from inventory_snapshot will help in identifying the warehouse changes and inventory management.
Owing to huge data and rate limits, the traditional APIs were failing to capture the warehouse data efficiently. But with this snapshot report we can get the data immediately. We are able to process more than 1.5 million records in 30 mins.
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Magento_v2
- Enhanced the connector to accommodate the empty data sets from the source and made it more stable.
- In sales_order table of Magento, we encountered a data missing issue and we deep dived into it. We found that for few API calls Magento is responding back with 503 code and empty data. Currently to resolve this we are skipping the calls with 503 code as a temporary fix. We plan to engage with Magento to identify the root cause of the problem.
Shopify
- Added support for Events table:
Table Name |
Details |
---|---|
Events |
Events serve as records of various activities related to resources such as creating an article, fulfilling an order, or adding a product.
Various events (from this table) are captured when the following actions occur:
Use cases: This table can also be used to fetch orders placed by internal teams, including standard orders, and to track replacement orders, among other things.
Note: This event data is retrieved for all orders, which are pulled from the customerjourneysummary_orders table. Due to the large volume of data in this table, the number of rows fetched can be substantial.
Shopify documentation: https://shopify.dev/docs/api/admin-graphql/2024-04/interfaces/Event
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New Connectors
Connector Name | Description | Supported Tables |
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Walmart Ads |
Walmart Ads provide businesses with various options to promote merchant products and reach Walmart's vast customer base.
For more information, check: https://developer.walmart.com/doc/us/us-wmc-ads/us-wmc-ads-introduction/ |
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Post Script |
PostScript is a specialized marketing platform tailored for e-commerce brands, focusing on SMS (text message) marketing to enhance customer communication. The platform empowers companies to deliver targeted and personalized messages to their customer base, including promotional offers, product updates, and reminders for abandoned carts. With advanced segmentation and automation features, PostScript ensures that the right message reaches the right person at the right time, significantly improving customer engagement and driving sales growth. For more information, check: https://developers.postscript.io/reference/get-subscribers |
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Tune V2 |
Tune helps businesses optimize their marketing strategies by providing advanced technology for tracking performance, analyzing data, and managing marketing efforts. Tune's solutions are designed to enhance the effectiveness of marketing campaigns, improve ROI, and streamline processes. For more information, check:https://developers.tune.com/network/promocode-findall/ |
Tune V2 only permits access to the Promocode table. To access other tables, you can create an integration using Tune V1. To learn more about Tune V1, Refer: https://help.sarasanalytics.com/source-schema-information/tune-schema-information |
Loris |
Loris.ai provides customer service solutions powered by artificial intelligence (AI). The platform is designed to help companies improve their customer support by providing real-time coaching and conversation guidance to support agents. Their technology enables customer service teams to handle interactions more effectively, reduce response times, and enhance customer satisfaction.
Website Link: https://loris.ai/
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