Libraries tagged by purchases manager

# Introduction **INDA (INtelligent Data Analysis)** is an [Intervieweb](https://www.intervieweb.it/hrm/) AI solution provided as a RESTful API. The INDA pricing model is *credits-based*, which means that a certain number of credits is associated to each API request. Hence, users have to purchase a certain amount of credits (established according to their needs) which will be reduced at each API call. INDA accepts and processes a user's request only if their credits quota is grater than - or, at least, equal to - the number of credits required by that request. To obtain further details on the pricing, please visit our [site](https://inda.ai) or contact us. INDA HR embraces a wide range of functionalities to manage the main elements of a recruitment process: + [**candidate**](https://api.inda.ai/hr/docs/v2/#tag/Resume-Management) (hereafter also referred to as **resume** or **applicant**), or rather a person looking for a job; + [**job advertisement**](https://api.inda.ai/hr/docs/v2/#tag/JobAd-Management) (hereafter also referred to as **job ad**), which is a document that collects all the main information and details about a job vacancy; + [**application**](https://api.inda.ai/hr/docs/v2/#tag/Application-Management), that binds candidates to job ads; it is generated whenever a candidate applies for a job. Each of them has a specific set of methods that grants users the ability to create, read, update and delete the relative documents, plus some special features based on AI approaches (such as *document parsing* or *semantic search*). They can be explored in their respective sections. Data about the listed document types can be enriched by connecting them to other INDA supported entities, such as [**companies**](https://api.inda.ai/hr/docs/v2/#tag/Company-Management) and [**universities**](https://api.inda.ai/hr/docs/v2/#tag/Universities), so that recruiters may get a better and more detailed idea on the candidates' experiences and acquired skills. All the functionalities mentioned above are meant to help recruiters during the talent acquisition process, by exploiting the power of AI systems. Among the advantages a recruiter has by using this kind of systems, tackling the bias problem is surely one of the most relevant. Bias in recruitment is a serious issue that affect both recruiters and candidates, since it may cause wrong hiring decisions. As we care a lot about this problem, we are constantly working on reduce the bias in original data so that INDA results may be as fair as possible. As of now, in order to tackle the bias issue, INDA automatically ignores specific fields (such as name, gender, age and nationality) during the initial processing of each candidate data. Furthermore, we decided to let users collect data of various types, including personal or sensitive details, but we do not allow their usage if it is different from statistical purposes; our aim is to discourage recruiters from focusing on candidates' personal information, and to put their attention on the candidate's skills and abilities. We want to help recruiters to prevent any kind of bias while searching for the most valuable candidates they really need. The following documentation is addressed both to developers, in order to provide all technical details for INDA integration, and to managers, to guide them in the exploration of the implementation possibilities. The host of the API is [https://api.inda.ai/hr/v2/](https://api.inda.ai/hr/v2/). We recommend to check the API version and build (displayed near the documentation title). You can contact us at [email protected] in case of problems, suggestions, or particular needs. The search panel on the left can be used to navigate through the documentation and provides an overview of the API structure. On the right, you can find (*i*) the url of the method, (*ii*) an example of request body (if present), and (*iii*) an example of response for each response code. Finally, in the central section of each API method, you can find (*i*) a general description of the purpose of the method, (*ii*) details on parameters and request body schema (if present), and (*iii*) details on response schema, error models, and error codes.

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Purchases manager

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Kazist Purchases Manager.

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### 1. **Module Overview:** - **Name:** Brand Inventory Manager - **Purpose:** The module dynamically lists all the brands that have products currently in stock on the website, allowing customers to view and browse products by brand. This list updates automatically based on the store's inventory. ### 2. **Key Features:** - **Dynamic Brand Listing:** - The module generates a list of brands that have at least one product in stock. - The list is updated in real-time based on changes in inventory levels (e.g., if a brand's products go out of stock, that brand is removed from the list). - **Filter by Inventory:** - Customers can filter the brand list by product availability, ensuring they only see brands with products they can purchase immediately. - **Brand Page:** - Each brand name in the list is clickable, leading to a dedicated brand page. - The brand page displays all in-stock products for that brand, with options for sorting, filtering, and searching within the brand's catalog. - **SEO-Friendly URLs:** - The module creates SEO-friendly URLs for each brand page, enhancing visibility on search engines. - **Inventory-Based Brand Widget:** - A widget can be placed on various parts of the website (e.g., homepage, sidebar, footer) that highlights popular or new brands with available stock. - **Admin Configuration:** - The admin can configure how brands are displayed (e.g., sorting by popularity, alphabetical order, etc.). - Options to include or exclude specific brands regardless of inventory (e.g., always show premium brands). - **Caching Mechanism:** - To ensure performance, the module uses caching to store brand lists, refreshing only when inventory changes occur. ### 3. **Integration with Other Features:** - **Product Pages:** On each product page, the brand name is linked to the corresponding brand page. - **Search Functionality:** When customers search for a brand name, the search results include the brand page and all relevant products. ### 4. **Customizable Design:** - The module’s front-end is fully customizable, allowing the store’s design team to style the brand listing and pages in line with the overall website design. ### 5. **Reporting and Analytics:** - The module provides reports on brand performance, showing metrics such as which brands are viewed most frequently, which have the highest sales, etc. ### 6. **Multi-Store Support:** - For stores with multiple websites or store views, the module supports configuration per store view, allowing different brands to be highlighted in different regions or languages. This Magento module would be particularly useful for e-commerce stores with diverse product offerings across many brands, ensuring that customers have an efficient way to find and purchase products by their favorite brands.has context menu

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PHP client for App Store Server API. Manage your customers’ App Store transactions from your server.The App Store Server API is a REST API that you call from your server to request and provide information about your customers' in-app purchases. The App Store signs the transaction and subscription renewal information that this API returns using the JSON Web Signature (JWS) specification.App Store Server API is independent of the app’s installation status on the customer’s devices. The App Store server returns information based on the customer’s in-app purchase history regardless of whether the customer installed, removed, or reinstalled the app on their devices.To request transaction and subscription status information with this API, provide any original transaction identifier that belongs to the customer. The transaction history API responds with a complete list of transactions, 20 at a time, starting with the oldest first. The subscription status API returns the status for all of the customer’s subscriptions, organized by their subscription group identifier.Use the Send Consumption Information endpoint to send information to the App Store when customers request a refund for a consumable in-app purchase, after you receive the CONSUMPTION_REQUEST App Store server notification. Your data helps inform refund decisions.

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The payments API is used to create a session to offer Klarna's payment methods as part of your checkout. As soon as the purchase is completed the order should be read and handled using the [`Order Management API`](https://docs.klarna.com/api/ordermanagement). **Note:** Examples provided in this section includes full payloads, including all supported fields , required and optionals. In order to implement a best in class request we recommend you don't include customer details when initiating a payment session. Refer to [Initiate a payment](https://docs.klarna.com/klarna-payments/integrate-with-klarna-payments/step-1-initiate-a-payment/) section for further details. Read more on [Klarna payments](https://docs.klarna.com/klarna-payments/).

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The Order Management API is used for handling an order after the customer has completed the purchase. It is used for all actions you need to manage your orders. Examples being: updating, capturing, reading and refunding an order. Read more on the [Order management](https://docs.klarna.com/order-management/) process. # Authentication

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The checkout API is used to create a checkout with Klarna and update the checkout order during the purchase. As soon as the purchase is completed the order should be read and handled using the [`Order Management API`](https://docs.klarna.com/api/ordermanagement).\n\nRead more on [Klarna checkout](https://docs.klarna.com/klarna-checkout/).

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This Magento 2 module allows your e-shop conduct sale and management of product samples, enabling customers to try your products before making a purchase.

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Laravel Package to manage purchase orders

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WISMOlabs Integration for Magento 2.3.6+, providing seamless order tracking, shipping notifications, and post-purchase marketing management.

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Simplify implementation of Symfony 6.x/7.x web application with SaaS capabilities such as credit purchase, subscription management, usage tracking etc

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To simplify credit management and in-app purchases in Laravel apps.

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TendoPay works as a payment method and allows users to spread their purchase across multiple instalments. User instalment payments are clearly visible with no hidden or additional fees. Application to TendoPay is quick, a user can get approved within 24 hours. Also users can manage their account from anywhere - desktop, mobile or tablet through the TendoPay admin panel. TendoPay was built to help provide users a more flexible payment method suited for timing that works for them

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The payments API is used to create a session to offer Klarna's payment methods as part of your checkout. As soon as the purchase is completed the order should be read and handled using the [`Order Management API`](https://docs.klarna.com/api/ordermanagement). Read more on [Klarna payments](https://docs.klarna.com/klarna-payments/).

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