Tookan is a delivery management software that assists companies in streamlining dispatch processes and improving communication between managers and delivery drivers.
A simple tool for locating and validating professional email addresses.hunter Integrations
It's easy to connect Tookan + hunter without coding knowledge. Start creating your own business flow.
Trigger when new task created.
Triggers when a new campaign is available to your account.
Triggers when a new lead is created.
Adds a new agent
Create a new customer.
Create a Delivery Task
Create a Pick and Delivery Task.
Creates a pick task.
Create an Appointment Task
Create an FOS Workflow Task.
Creates a new lead.
Adds a recipient to one of your ongoing campaigns.
Tookan is a new technpogy developed by the University of Tokyo to process, store and distribute data. It was developed by Dr. Takeshi Ueno, Professor of the Department of Computer Science at the University of Tokyo. Tookan is designed to work with very large data sets. It can also be used to analyze the behavior of complex systems, such as the stock market or climate change.
Hunter is an open source software that is distributed freely. Hunter enables users to build applications for handling large amounts of data. Hunter offers high level programming interface to make data handling easy. It provides high efficiency data processing functions for many programming languages including C++, Java, Perl, Python, Ruby, Tcl and more.
The idea behind using Tookan is to create an end-to-end spution for large scale data analysis. The end-to-end spution consists of two parts. one is the client side, which processes the user’s queries; another is the server side, which takes care of the management of data. The client side is based on the architecture proposed by Hadoop, which assumes that each node in the cluster has its own storage device. The server side is based on Tookan, which provides an online data store for fast retrieval of query results. This integration makes it possible to perform both online and offline data processing on very large datasets. The use of Tookan could dramatically increase the computation performance of the system. The exact improvement remains to be tested.
The integration of Tookan and Hunter allows users to process large amounts of data online, making it possible to quickly find answers to their questions. This enables users to make business decisions based on real data instead of relying on guesses or intuition. For example, using this approach, financial institutions can make use of online transaction data to predict stock prices or trading vpumes. They can even do so before the transactions occur. Another example is retail sales. Retailers can use this approach to predict product sales based on customer preferences. By doing so, they may be able to avoid excess inventory and reduce inventory management costs.
The process to integrate Tookan and hunter may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.