Generation AI Influence On The Market

Artificial Intelligence has greatly impacted the supply chain and ‘you ain’t seen nothin yet’ as they say. The market disruption is driven by the combination of consumer embrace of technology and the growing embrace from technology savvy, older generations in the market and the workforce. These converging influences are driving the supply chain now to incorporate these same new technologies in combination with artificial intelligence in order to sense and respond to the disruption. Disruption in the market will only increase because of technology capability improvements and the imagination of the consumer. This imagination and experimentation will increase the disruption as the new generations increase their involvement in the market.

We are seeing now a dramatic increase in market participation by millennials and gen-x and in turn the market must be prepared to incorporate their reactions and demands. As for sensing the demands, there is so much information available now in the market based on the online habits that there is really no way to sift through this vast amount of data to succeed in reacting and meeting the demands without Artificial Intelligence. We are seeing now the results of poor the poor sense and respond capabilities in the marketplace with legacy brick and mortar retailers struggling with the disruption and lurching from one attempt to react to another. The market itself and the consumers have moved on before these retailers can react. This is essentially a real time demonstration of the disruption in action and this will only increase in velocity.

The key disrupting factor now is mobile technology and how the younger generations are using this technology to support their lifestyle demands. This disruption has increased in velocity as the concepts are proven by early adopters and then spread through other consumer groups. Based on the embrace of mobile technology, what was once a strategic weapon is now almost a strategic albatross, I’m speaking of the number of brick and mortar stores. This embrace of mobile technology requires an equal embrace of the omni channel shopping experience by the large retailers. The current major disruption rolling through the retail market is related to the demands of consumers for a true omni channel experience. The retailers struggling are the larger retailers that have been slow to invest in technology to develop the experience.

Now we are seeing the results of this shopping disruption, especially in the large department store sector, where the early adapters are succeeding and the late adaptors are struggling! The struggling retailers are seeing the results of previous strategic practices to hold off on investment until the market settles and the winning technology has been selected by the market. As a result of the velocity of change in technology and use of the technology the winning technology is not selected by the market, instead the technology is embraced and usage of the technology modified and enhanced based on the users of the technology.

I see that the most significant disrupting factor in the market now is not related to technology use by the marketplace but related to the technology use by consumers within the market. Consumers have now turned the table on the market by developing methods that must be adopted by the market and retailers rather than the market pushing capabilities to the consumer. This is really where consumers are driving the market and this is also the most significant opportunity for a retailer such as Amazon or now Wal Mart to really reshape the relationship with the consumer and in doing this reshaping the market itself.

Data Analytics And Artificial Intelligence Driving Disruption

One of the most critical capabilities to responding to change and disruption in the marketplace is the ability to sense the change in a manner and, most importantly, timeframe that allows a response to be identified and executed. The frequency and discontinuous nature of change rocking the market requires a robust process that takes into account as many factors as possible to identify the change. This process then must describe factors and relationships to allow them to be analyzed to develop the response. The difficulty lies in the volume of data, both new and old, that must be taken into account to first identify the change and second to guide in determining a response. This is where data analytics practices utilizing artificial intelligence comes into the equation to support the business.

The two challenges; data for analytics and the actual analytics require a thoughtful strategy and approach that will allow you to sense the demands from the market in both a manner and a timeframe that will meet the velocity of change requirements. These challenges go hand-in-hand as two sides of the same coin; you cannot sense the change without a great deal of data to analyze and you cannot analyze the amount of data without the artificial intelligence to process large amounts of data.

From the data perspective it is very fortunate that the big data tools and storage technology has advanced to the stage were the collection and maintenance of the data is no longer an issue. This allows the collection of vast amounts of data available from all points of the supply chain and especially from the eCommerce channels. This data along the supply chain can now easily be captured for detailed analysis and because of the volume of data available the results of the analytics can be more accurate and more informative of trends. The important point here is the collection of data from the viewpoint that the more data the better because you never know where the analysis will take you and in order to come to a conclusion you must have the data to analyze and also prove the concept.

Ten years ago, in the early growth stages of big data, the challenge was the ability to collect and store the amounts of data for analysis and the analytic query tools to quickly perform the analysis. This required careful review of the data available to select the appropriate elements that you believed were necessary to produce the analytic results. Then the data collection required over night collection and the analytics were run to produce large reports in a daily schedule. Everything took time and you had to be careful to analyze the expected outcome. Now though because of the dramatic improvements in the technology the process and results are much more robust and immediate. Now there is no concern about the amount of data and the queries themselves are also much more interactive.

The analytics of the data presents the challenge in this equation and this is where the focus should be placed now. Artificial intelligence tools really come into play from this perspective to provide a value add to the equation. Artificial intelligence and machine learning will be a baseline requirement to allow the market to sense and then determine how to respond to the changing demands. These tools will are necessary to first sense and understand the demands of the market and then these same tools will provide the means to analyze the potential solutions and even forecast the impact to the market of change.

The key benefit of these tools is the speed of analytical results and then combine that with the delivery speed of a solution. Speed of sensing the demand and then speed of response are the objectives that must be front and center for the market and the participants in the market. All indicators based on technology lead to increased speed of demands and resulting disruption in the market and market participants will not have the time required for any manual analysis of these trends. In addition, only failure will come from participants that wait for the market to deliver a solution that they can adopt.

The participants that embrace artificial intelligence combined with machine learning will be the players that succeed and prosper in the market. The rate of failure that we have seen in the market will only increase as the velocity of changing demands increase. The good news is the building block tools to quickly and efficiently sense and respond to the increased velocity of changing demands are already available. The bad news is that the market participants must embrace the tools to develop their own practices to use the tools.

Discontinuous Demands Of The Market

Consumers are driving waves of discontinuous demands that are disrupting the market and all of the partners in the market. The cycles and the velocity of changing demands has increased as a result of the consumer embrace of technologies that allow the consumer to shape their demands based on their changing lifestyle requirements. Just as the market reacts to a set of demands it seems that the consumers shift and change the demands again. This cycle is complicated by the combinations of generational, technology and lifestyle priorities. The market must implement the process and tools to sense and respond to the demands in a manner that allows them to maintain the pace of the discontinuous demands.

Millennials and Gen X’ers are entering and as a result of their entrance are impacting the market in a big way as a result of their comfort with technology and their imagination in supporting and even creating their lifestyle demands. These millennial and Gen X’er generations are the ‘tip of the spear’ in utilizing technology to create new ways to meet their demands. They are also a significant reason for the decline of department stores, large retailers and brick and mortar stores that is especially demonstrated in reductions in mall and store traffic.

The largest impact though is from the baby boomers embrace of technology and capabilities. This generation is a quick learner and perhaps most importantly from a market impact perspective they are also quick to embrace new trends and capabilities. Technology provides the opportunity to explore and rebuild a market and a very large number of baby boomers are searching for ways to support their lifestyle demands. In addition, baby boomers are not afraid of technology and as a result are quick adaptors to new technologies and capabilities that can address their demands.

Technology is the great equalizer in the market from both the consumer and the partners supplying the consumer. The combination of generations and their propensity to new demands and quick adaptation of new capabilities has dramatically shortened the change cycles. This, in turn, has left the market struggling to maintain and react. This cycle and resulting impact is quickening and bringing with it a faster disruption to the market that must be addressed in order to survive.

The change cycle has reached the point now where there is really no time for the market to adjust and extend the new capabilities across partners. The cycle has reached the point where the market must react quickly or fall behind. Falling behind can be the beginning of the end though because of the difficulty in catching up with the market.

This is where the importance of the collaborative social network practices come into play for the market to allow the partners to collaborate in reaction to meet the market demands. In other words, a strong collaborative network allows the partners to react and adjust to changing demands more efficiently and quickly. This is where the social networking technologies and practices make a big impact on the market reaction.

Social network technologies combined with big data and artificial intelligence analytics provide the capabilities to sense change in market demands more efficiently and earlier to allow for reaction time by the partners. Collaborative practices and tools allow partners to react in a manner that does not require each partner to develop a reaction to the demand. Instead the collaborative practices allow partners to take advantage of the specialties of each partner in reaction to the changing demands. The strength of the collaborative network allows market reaction to demands at the speed of the changing demands.

The greatest difficulty though is overcoming cultural practices that historically have viewed the changes in meeting demands as a trade secret to create a competitive demand. The culture needs to change to increase sharing and collaboration to sense and react to the changing demands. The competitive advantage is in the sharing and collaboration to allow the partner to more quickly react to the demands.

The measures especially utilizing collaborative practices to respond to the changing market demands are not overwhelming. These collaborative practices have been utilized for years in the extended supply chain as a means to react and respond to changing demands. The difficult actions from the market reaction perspective have been related to cultural practices both in the market and in the responses to the market demands. This has shown that overcoming cultural challenges in market leadership will be the number one challenge and delays or continuing in the same cultural practices will only cause the continual decline for these current leaders in the market.