Infor announced the general availability (GA) of its Infor Coleman Digital Assistant, which is designed to help maximize human work potential by enabling natural language extensibility and accessibility of Infor CloudSuite. From a user perspective, the Coleman Digital Assistant can help make work more enjoyable and productive.
At its annual Inforum customer conference, the company also introduced its Infor Coleman AI Platform for embedded machine learning models, which it expects to deliver in the Spring of 2019.
Infor Coleman AI Digital Assistant
The Coleman Digital Assistant is the first in a series of new products rolled out under the Coleman AI umbrella and provides a conversational interface to the Infor OS platform, the underlying foundation of Infor CloudSuite. It offers custom skill building, a voice user experience (UX) and navigation, and natural language processing (NLP) extensibility.
As a digital assistant, Coleman uses a conversational UX and natural language processing – with deep domain and industry knowledge – to chat, hear, talk, and in the future, it is expected to analyze images to help people work more efficiently. The Infor Coleman Digital Assistant can help maximize human work potential by:
- Advising. It can provide intelligent insights designed to help users make decisions.
- Augmenting. It can serve as a partner to help amplify one’s work and provide key information at critical decision points.
- Automating. It can complete low-value, repetitive tasks to enable users to focus on more valuable work.
- Conversing. It can offer a better user experience with more efficient interactions.
Michael Bollinger, President of Grimco Canada, a leading wholesale sign supply manufacturer and distributor with more than 50 locations across North America, said, “In our business, it is all about speed and agility. Being able to have data and AI allows us to get ahead of where everybody else is.”
As one of the beta customers of the Infor Coleman Digital assistant, Bollinger said Grimco is using Coleman to “take a look at inventory and find products more quickly, so we can make better decisions for our customers. We can quickly determine if we have a product in stock in Toronto, or if we have product ‘z’ in stock in Montreal, for example. We can pull out this information quickly and speed our response times to customers.”
Rick Rider, Infor Coleman Product Director, said, “According to research from McKinsey & Company, the average interaction worker spends nearly 20 per cent of their time looking for information or tracking down colleagues for help with specific tasks.¹ With the ability to quickly source data, automate repetitive processes, and help optimize workflows, Coleman can improve the work experience and help make workers more productive. This can result in significant savings for organizations.”
The Coleman Digital Assistant also is expected to be integrated with Amazon Alexa for Business – which provides tools to manage Alexa devices, enrol users, and configure skills with added security across those devices – by the end of 2018.
The Infor Coleman Digital Assistant will be available, upon GA, to Infor OS customers, and example skills will be available, at Inforum, from product suites such as Infor CloudSuite Distribution (CSD), Infor CloudSuite Industrial, Infor CRM, Infor LN, Infor M3, Infor CloudSuite Financials & Supply Management (CSF/FSM), and Infor Global Human Resources (GHR), among others.
Infor Coleman AI Platform
The Infor Coleman AI Platform is a pervasive machine learning platform that operates below an application’s surface. It mines data and uses powerful machine learning to help improve processes such as inventory management, transportation routing, and predictive maintenance.
The Infor Coleman AI Platform represents a giant leap forward for AI at scale – incorporating deep reservoirs of network data to help serve the needs of human workers and to help make connected devices smarter.
The platform is specifically designed for non-technical, business users and is built upon a foundation of industry-specific data. The Infor Coleman AI modelling environment is “digestible,” in that it doesn’t require a complex of a skillset as other AI tooling, nor is it designed to require an exhaustive service engagement. Customers can better understand, relate, and trust the output, given the focus on user-experience and embedded connectivity to the entire applicable enterprise suite.
“The Infor Coleman AI Platform can help customers better analyze their data and give them the ability to start asking questions they didn’t even know they should be asking,” Rider said. “It can automate tasks that were error-prone, which can help organizations save money by avoiding certain issues or taking advantage of specific opportunities more quickly.”
Organizations can work to gain a competitive advantage by creating models from their proprietary data and experiences, and the Coleman platform enables them to pass along advantages, up and downstream, using their AI insights.
This can be particularly appealing to enterprises such as Headwater Companies, LLC, a collection of groundwater distributors. This collective and vested group works to ensure a focused groundwater distribution organization that delivers quality products and leading brands to the industry, providing contractors with the availability and service to meet various application challenges.
According to Matt Hendrickson, IT Director at Headwater Companies, the Infor Coleman AI Platform’s citizen developer toolset and embedded nature make it unique and attractive.
“For us to take full advantage of an AI solution, it needs to be easy to deploy and use,” he said. “Coleman’s embedded system with rapid deployment programs should help facilitate this. If we can leverage the solution, without spending months or years on development, the rest will take care of itself.”
Hendrickson said that Headwater expects to use the Coleman platform to help ensure it has products available when customers need them.
“We are looking to the Infor Coleman AI Platform to give us predictive insights into when products will go out-of-stock,” Hendrickson said. “We want the platform to take action in advance of the stock-out. Maybe this is a notification to a buyer to change their buying habits because of certain weather events, such as droughts or hurricanes, for example. Or, it could be a notification or integration with the supplier’s system, which they can use to adjust their manufacturing forecast.
It all ties back to one of our core strategies,” Hendrickson added. “We want to provide the product availability and service our customers demand.”