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with Zoho Inventory and Go?
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Popular Zoho Inventory and Go Triggers#
Emit new event each time a new contact is created in Zoho Inventory
Emit new event each time a new invoice is created in Zoho Inventory
Emit new event each time a new item is created in Zoho Inventory
Emit new event each time a new sales order is created in Zoho Inventory
Popular Zoho Inventory and Go Actions#
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Create a new sales order in Zoho Inventory. See the docs here
Overview of Zoho Inventory#
Zoho Inventory API on Pipedream opens the door to smart inventory management by allowing you to integrate with a plethora of apps, automate inventory tracking, and streamline order processing. You can sync your inventory levels across multiple sales channels, automatically update stock quantities, process sales orders, manage returns, and generate detailed reports, all in real-time. With Pipedream's serverless platform, crafting workflows becomes a breeze, letting you focus on scaling your business while reducing manual overhead.
Connect Zoho Inventory#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
zoho_inventory: {
type: "app",
app: "zoho_inventory",
}
},
async run({steps, $}) {
return await axios($, {
url: `${this.zoho_inventory.$auth.api_domain}/inventory/v1/users/me`,
headers: {
"Authorization": `Zoho-oauthtoken ${this.zoho_inventory.$auth.oauth_access_token}`,
},
})
},
})
Overview of Go#
You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.
Connect Go#
package main
import (
"fmt"
pd "github.com/PipedreamHQ/pipedream-go"
)
func main() {
// Access previous step data using pd.Steps
fmt.Println(pd.Steps)
// Export data using pd.Export
data := make(map[string]interface{})
data["name"] = "Luke"
pd.Export("data", data)
}Trusted by 1,000,000+ developers from startups to Fortune 500 companies