Each day, in just about every media, we are reminded that the great leap into the future of big data, artificial intelligence (AI) and Internet of Things is happening right now, irrevocably. And who are we to disbelieve?
For manufacturing companies, these developments present the advent of a whole new paradigm, dubbed by Deloitte as ‘Manufacturing 4.0’.
At Documill, we have spent some time figuring out, how to meet the challenges/opportunities Manufacturing 4.0 and especially IoT will bring to the businesses in the field. Our focus has been on marketing and sales document processes and the ways in which our Documill Dynamo document automation app for Salesforce CRM can improve them.
Here are some of our thoughts on the topic, from the perspective of collaboration within and between companies.
Future: bigger data, faster and more networked business
We expect the Manufacturing 4.0 paradigm to bring three fundamental changes to the companies in the field:
- Business will get even more networked and international. Cross-company collaboration will flourish – between manufacturers and their traditional allies like field service providers, but also with IoT connection providers, payment solution providers like fintech companies and holders of different databases (e.g. weather, maps and financial information on businesses).
- Business processes will be accelerated by AI and automation, as they will happen more and more directly between machines, with diminished human involvement. As Salesforce CEO Marc Benioff has remarked, “speed is the new currency of business”.
- As a result, big data will get even bigger, and it will need to be more accurate and processed into actionable insights.
All in all, companies’ document processes will come even more to the forefront in marketing and sales teams. Whether it is about internal or customer communications, they simply must be run more quickly, flexibly and reliably.
Cope with complicated customer documents and processes
IoT will bring manufacturers a larger partner network, within which data will be running continuously. As a result, manufacturers will have more customer and partner documentation to handle. At least some of it will be more complicated and have more contributors.
Think about, say, contracts: more of them are likely to become multilateral, with more refined conditions, for example for KPIs like data transmission speed.
In the face of these complexities Documill Dynamo allows CRM administrators to:
- fully automate document processes
- easily create even the most complex document templates using a standard browser or MS Word, without additional coding in the CRM
- produce document templates in multiple languages, choosing from a variety of methods.
Keep up to speed as business gets faster
IoT and AI will speed up business processes, and it is important to accelerate document processes at the same pace so they will not become a bottleneck. Documill Dynamo allows quicker and more reliable collaboration over documents for end users – internally and across partner companies – by enabling users to:
- edit content directly in the document after it has been generated
- save or forward documents to the next contributor with one click in document edit mode
- send contracts off for external signing with one click in document edit mode, when an eSignature application is added to the CRM.
Data gets even bigger – make the most of it!
And then there is the steeply increasing amount of data running between equipment and systems – and on the customers themselves. Big data will only cause growing confusion, if it is not turned into proper insights. In fact, the confusion will be twice as bad, really, if the data cannot be kept up to date.
Documill Dynamo helps users make the most of the Salesforce data as it allows:
- updating data directly in a generated document, from which it gets automatically updated in the Salesforce – to be used productively also by Einstein, Salesforce’s AI component.
- generating reports wherever Salesforce itself does not support producing them, thus helping distill more actionable insights out of data.