DEAR Systems
DEAR Inventory is a comprehensive inventory control application positioned as a complete back end management system with product planning, cost and development, manufacturing, sales, shipping and payment features.
Integrate the DEAR Systems API with the Schedule API
Setup the DEAR Systems API trigger to run a workflow which integrates with the Schedule API. Pipedream's integration platform allows you to integrate DEAR Systems and Schedule remarkably fast. Free for developers.
Popular DEAR Systems and Schedule Triggers#
Emit new event when a purchase order is created and authorized
Emit new event when a sale order is created and authorized
Emit new event when a sale quote is created and authorized
Overview of DEAR Systems#
DEAR Systems offers an API that provides programmatic access to its inventory management platform, allowing for seamless integration with other apps for automating various business processes. Leveraging this API within Pipedream, you can create custom workflows to synchronize inventory levels, manage sales and purchase orders, and automate financial reporting among other tasks. By connecting DEAR Systems to Pipedream’s vast array of supported apps, you can achieve a high degree of automation, reducing manual entry and data errors, and gaining insights from real-time data processing.
Connect DEAR Systems#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
dear: {
type: "app",
app: "dear",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://inventory.dearsystems.com/ExternalApi/v2/me`,
headers: {
"api-auth-accountid": `${this.dear.$auth.account_id}`,
"api-auth-applicationkey": `${this.dear.$auth.application_key}`,
},
})
},
})
Overview of Schedule#
The Schedule app in Pipedream is a powerful tool that allows you to trigger workflows at regular intervals, ranging from every minute to once a year. This enables the automation of repetitive tasks and the scheduling of actions to occur without manual intervention. By leveraging this API, you can execute code, run integrations, and process data on a reliable schedule, all within Pipedream's serverless environment.