Sunday, May 16, 2021

Conversational Commerce

Conversational Commerce

The retail omni market, along with the entire retail supply chain collaborative network, is being driven by consumer demand towards a significant disruption that will transform the legacy consumer focus into a social commerce, or conversational commerce, marketplace. I think the conversational commerce name is highly descriptive of the transformation and provides a highly descriptive name to the next transformation wave. The next transformation wave will be focused on the two-way interaction between customer and retailer or customer and service provided or retailer and service provider, I’m sure you get the drift, creating an eComerce network market. The next transformation will eliminate the hierarchy across the retail marketplace and replace the hierarchy with a network of direct connections to the appropriate partner at the appropriate time in the retail transaction. The benefits of this model are dramatic for all parties involved and provide the framework for interaction through the next transformation wave.

Conversational commerce is the next logical step in the transformation of the social commerce marketplace network and provides a great way to frame the transformation. The focus of conversational commerce is a network of two-way interaction between consumers and partners to support shopping and purchasing in the omni market. This is a further clarification and more importantly an enhancement to shopping and purchasing in the marketplace. This creates a virtual shopping capability that incorporates virtually the interaction that normally occurs in the physical retail shopping trip. It provides the ability to interact across all of the parties involved in the shopping experience to provide the value-added services and products during the shopping experience that would be difficult in the current standard eCommerce or omni market shopping experience. The two-way interaction is a very powerful tool that will improve the shopping experience and increase the opportunities for additional sales and add-on services.

The transformation definitely requires a means to coordinate and direct the communications across the involved parties and this is where the control tower concept and technology comes into play. A control tower framework is required to provide a plug-and-play framework for communication and collaboration with external partners and even consumers that allows the partners to focus on the business benefits rather than the communication requirements. The control tower framework must be embraced and implemented across all of the partners to maintain the communication and realize the benefits. This framework provides the basis for integration from a message perspective to allow the partner to communicate with a partner in the most efficient manner for the partner while maintaining a clean and stable interface with their own internal systems. The framework provides an externally facing tool that is flexible and robust to simplify the addition and integration with other partners, it does not eliminate the work to external partners, it eliminates the work on the internal integration though to the business applications.

Conversational commerce focuses on the two-way communication between partners, including manufacturers, transport, service providers and consumers. This model will transform the omni channel retail marketplace again based on the consumer lifestyles and the consumer embrace of technology to support the social network. Conversational commerce is another term for what I have been calling social commerce which is the two-way direct communications with all players or partners involved in the retail marketplace. Consumers view retail shopping as a social experience which is why malls were so successful and now the consumers are using conversational commerce to create a virtual mall.

Saturday, April 24, 2021

Artificial Intelligence Improving Logistics









Over the last few years there has been a great deal of interest and development in the area of artificial intelligence (AI) and the potential to improve the supply chain and logistics. There is an immense amount of data available across the supply chain from a combination of Internet of Things (IoT) devices connected directly to supply chain partners and then also a great deal information from your partners across the supply chain network. In addition to the data produced internally through process actions and functionality, there is now an immense amount of data available from external customers to the supply chain network via direct interaction within the extended network through partner portals and direct interactions and integration with supply chain external customers. The Internet and online interactions from eCommerce (B2B and B2C) provide a great deal of this data and supply chain partners would be foolish not to use this data to improve their logistics capabilities.

The challenge for the supply chain network has been two-fold;
  • How to utilize the data
  • What data to collect for both analysis and use
Artificial intelligence starts with the collection of data for analysis and this is an important starting point. There is no way early on in the collection of data to determine what will be important. This is because the analysis must be performed first to understand the potential use and value of the collected data. The intelligence part of the analysis also requires a great deal of information in order to validate the hypothesis and then to determine direction based on this intelligence. Starting with the data you can see why it is so important to collect everything because the intelligence part of the equation will generally require additional data from the same periods to confirm and validate direction.

It is important to collect all data then because you cannot tell what may be important for the analysis when determining direction. The good news here though is that storage is cheap and the technology to analyze vast amounts of data has been improved through game-changing improvements in technology. These two points have probably done more for the growth and development of artificial intelligence than any other developments over the last few years. These improvements in technology allow the supply chain to refine and redirect logistics activities and practices based on facts and data rather than hunches and hopes. Combine these two technologies with the growth of the Internet of Things capabilities and related technologies and the potential for improvements is almost overwhelming.

These increased capabilities bring improvements and opportunities in automation as well, including warehouse location and slotting, along with drones and robotics to improve efficiencies and especially accuracy while reducing costs. These are not the only areas of improvement than can be achieved through artificial intelligence. There will be improvements in volumes, inbound and outbound forecasts for instance, that will bring dramatic change to the supply chain as manufacturers and transportation providers revise their processes to incorporate the analytics into their plans and procedures. The warehouse operation though will also be dramatically impacted as artificial intelligence brings analytics to the equation that allows the operation to understand and immediately adjust labor forecasts to changes in the operation during the date based on near real time events. Artificial intelligence is just another factor bringing transformation to the supply chain and the supply chain must start with a baseline of continuous improvements in the flexibility and continuous change practices in order to meet the transformations.

Tom Brouillette
Contact: tom.brouillette.@gmail.com

Thank you for reading my post on LinkedIn in addition, Here at my blog I regularly write about management and technology trends. To read my future posts on LinkedIn click 'Follow'

Tom Brouillette discusses supply chain trends and provides strategic business & technology advice to his followers.

Sunday, April 18, 2021

Artificial Intelligence Improving Logistics


Over the last few years there has been a great deal of interest and development in the area of artificial intelligence (AI) and the potential to improve the supply chain and logistics.  There is an immense amount of data available across the supply chain from a combination of Internet of Things (IoT) devices connected directly to supply chain partners and the partners across the supply chain network.  In addition to the data produced internally in the organization supply chain actions, there is now an immense amount of data available from external customers to the supply chain network partners via direct interaction within the supply chain network through partner portals and direct interactions  integration points with supply chain external customers.  The Internet and online interactions from eCommerce (B2B and B2C) provide this data.  Supply chain partners would be foolish not to use this data to improve their logistics capabilities.

 

The challenge for the supply chain network has been two fold;

-        How to utilize the data

-        What data to collect for both analysis and use 

 

Artificial intelligence starts with the collection of data for analysis and this is an important starting point.  There is no way early on in the collection of data to determine what will be important.  This is because the analysis must be performed first to understand the potential use and value of the collected data.  The intelligence part of the analysis also requires a great deal of information in order to validate the hypothesis and then to determine direction based on this intelligence.  Starting with the data you can see why it is so important to collect everything because the intelligence part of the equation will generally require additional data from the same periods to confirm and validate direction. 

 

It is important to collect all data then because you cannot tell what may be important for the analysis when determining direction.  The good news here though is that storage is cheap and the technology to analyze vast amounts of data has been improved through game-changing improvements in technology.  These two points have probably done more for the growth and development of artificial intelligence than any other developments over the last few years.  These improvements in technology allow the supply chain to refine and redirect logistics activities and practices based on facts and data rather than hunches and hopes.  Combine these two technologies with the growth of the Internet of Things capabilities and technologies and the potential for improvements is almost overwhelming.

 

These capabilities bring improvements and opportunities in automation including warehouse location and slotting, drones and robotics to improve efficiencies and reduce costs. These are not the only areas of improvement to the achieved through artificial intelligence.  There will be improvements in volumes, inbound and outbound forecasts for instance, that will bring dramatic change to the supply chain as manufacturers and transportation providers revise their processes to incorporate the analytics into their plans and procedures.  The warehouse operation though will also be dramatically impacted as artificial intelligence brings analytics to the equation that allows the operation to understand and immediately adjust labor forecasts to changes in the operation during the date based on near real time events.  Artificial intelligence is just another force bringing transformation to the supply chain and the supply chain must start with a baseline of continuous improvements in the flexibility and continuous change practices in order to meet the transformations.

 

Tom Brouillette

Contact: tom.brouillette.@gmail.com

 

Thank you for reading my post on LinkedIn in addition, Here at my blog I regularly write about

management and technology trends. To read my future posts on LinkedIn click 'Follow'

Tom Brouillette discusses supply chain trends and provides strategic business & technology advice to his followers.