with Zoho Inventory and BigML?
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
Create a batch prediction given a Supervised Model ID and a Dataset ID. See the docs.
Create a new sales order in Zoho Inventory. See the docs here
Create a model based on a given source ID, dataset ID, or model ID. See the docs.
Create a source with a provided remote URL that points to the data file that you want BigML to download for you. See the docs.
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.
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}`,
},
})
},
})
The BigML API offers a suite of machine learning tools that enable the creation and management of datasets, models, predictions, and more. It's a powerful resource for developers looking to incorporate machine learning into their applications. Within Pipedream, you can leverage the BigML API to automate workflows, process data, and apply predictive analytics. By connecting BigML to other apps in Pipedream, you can orchestrate sophisticated data pipelines that react to events, perform analyses, and take action based on machine learning insights.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
bigml: {
type: "app",
app: "bigml",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://bigml.io/andromeda/source`,
params: {
username: `${this.bigml.$auth.username}`,
api_key: `${this.bigml.$auth.api_key}`,
},
})
},
})