CASE STUDY
LOW-CODE EASES ENTRY INTO THESE OTHERWISE DAUNTING FIELDS , OFFERING SIMPLIFIED AND MORE BUDGET- EFFICIENT PATHS TO IMPLEMENTATION .
Low-code is gaining ground , but I think adoption is really still in its earliest stages . We all share an imperative to continually deliver innovative new experiences and capitalize on competitive advantages wherever we can – and many industries , like retail for one example , can be unforgiving to those that fall too far behind .
With ever-shifting practices and new opportunities always arriving , low-code is enabling responses to those shifts with agility that is demonstrably different from traditional development .
In our own case at Pampered Chef , we ’ ve been using Iterate . ai ( which has a low-code platform called Interplay , though there are others ) to accelerate development and go to market faster with Table , our new social commerce platform .
Table enables our thousands of consultants to nurture digital micro-communities and achieve engagement through memorable and tailored interpersonal experiences that have been created by combining preprogramed modular content tools with their own content .
The ability to rapidly test and fine-tune the variables within those modular tools is absolutely crucial to our success . Deploying processes to iteratively improve personalization and better engage customers has proved to be an absolute necessity .
With a low-code tack , we are quickly launching prototypes of our application , bringing those experimental solutions before actual customers in live scenarios , collecting data , making improvements driven by that data and repeating the cycle ( quickly ).
Importantly , the risk of putting a ton of effort – and budget – behind software changes that may or may not work is largely mitigated . If something doesn ’ t work , we know and we ’ re on to another iteration . As a business building social commerce micro-communities to support our consultants , so much is out of your control . You cannot influence the major social media platforms to support your specific goals , nor directly control the behavior of users within your communities .
What you can do is iterate quickly enough to discover and land upon what does work . If a micro-community you build doesn ’ t have the desired uptake right away , change it . Feel free to move on and iterate as soon as possible . Be sure to leverage a data-driven approach and put it at the helm of all decision-making , in order to accurately and honestly assess what works and what doesn ’ t .
Achieving the personalization and engagement that equates to successful social commerce – or success in most any other corner of this industry for that matter – now requires advanced technological capabilities , such as AI and Machine Learning .
Low-code eases entry into these otherwise daunting fields , offering simplified and more budget-efficient paths to implementation . Backed by microservices
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