The Proof of the Pudding …

Everyone knows that the real value of something can only be judged from practical experience and results; not from appearance or theory. And that’s exactly how one should measure any AI implementation – from the outcome of its application.

This is essential to clearing the hype around AI and focusing on methodologies that drive pure value. We believe that AI is the way forward and to substantiate, we’ve put together a case study to showcase how AI can bring true value to your business processes.

The Client: A global retail chain which sells products, both online and offline.

The Implementation: A behavior scoring model to generate machine driven recommendations, in order to resell/upsell products and drive revenue.

The Test: After six months of implementation, we ran up a test to understand how the logic fared. We filtered out data of all machine based recommendations that were triggered by specific customers, and see if they purchased the same product as recommended within a timespan of 0-5 days.

The below chart shows the outcome of the recommender logic.

 

The Results:
A total of 184,712 users responded to the targeted recommendation
33,358 users purchased in less than 24 hours.
32,080 users purchased within 24-48 hrs of the recommendation being sent.

The machine had recommended about 2,000+ unique products to 20,000+ unique customers, based on their behavior. It generated revenues worth $14M in six months

This is proof that AI based Recommender Systems can make a big difference in the way businesses channelize their revenues and contextually engage their customers.

About Plumb5 Recommendations

Plumb5, which uses a context-based collaborative filtering technique, delivers highly effective recommendations with the high conversion rate to some of their retail and banking customers. The main contributor to the effectiveness of these recommendations is that Plumb5 works in real-time by ranking in run-time, a technique similar to the continuous-time Markov Decision process.

Click here to read more on how Plumb5 Recommendations work

Cross-domain visitor engagement

For businesses having multiple websites/apps, it could be meaningful to understand and engage their users on any of their brand websites. FMCG companies with dedicated websites for each brand or a hotel with websites for each property will have more opportunities to engage or cross-sell, whenever the user is active in any of their websites or apps.

Cross-domain visitor engagement allows businesses to engage visitors on any of their websites. Marketers can create user segments based on cumulative insights across domains and trigger engagements wherever the user is active.

 

Cross-domain tracking and dynamic tag management make it possible for engagement to merge sessions of two related sites pertaining to the same user, as a single session. Engagement can be triggered based on behavior recorded on the linked site.

 

The Plumb5 tracking script has linking features that allow the source domain to share relevant keys, where the destination domain can access it. The above screenshot shows the user’s click stream of related websites, sequenced by time stamp.

Plumb5 offers an easy interface to link all your domains for unified tracking without having to depend on engineers to integrate code. Using linked data, you can create custom segments spanning data across two or more sites and set global engagements that can fire on any targeted site.

Is your business ready for AI?

With more businesses wanting to implement AI driven automation to improve operational efficiency and provide greater customer satisfaction, it is important to understand if the current data infrastructure is good enough to address these goals.

Increasing interest in AI has encouraged data engineers to come out with solutions which will help in automating processes such as machine driven customer engagement, operational workflows, Predictions and Solution Paths (Prescriptions), or even addressing unit economics.  By automating business processes, we are not too far behind in providing a highly supervised environment to monitor and manage these machines.

However, to expect such a machine that can generate AI driven business decisions, a business has to carefully plan their data environment and make sure if the following factors are addressedTo solve the above challenges, it is evident that the business needs a unified data platform. Today, enterprise data environments are littered with data silos, and unifying this data is the biggest challenge which needs to be addressed first, as it forms the data foundation for every new innovation or learning that the business would want to experiment.

 

About Plumb5
Plumb5 is a unified data platform that is designed keeping all the above conditions in mind. Plumb5 to its current capabilities can automate 65-70% of business processes paving the way for machine driven business operations.

Using the data connectors, data can be plugged into the learning network for real-time learning and intelligence. The weights defined by the learning network allowing the system to compute output states as soon as the input data is ingested into the network. The data “states” act as the markers for the automation engine to trigger relevant next actions.

If you would like to know more or would like to test it out on your data, you can contact the data team@plumb5 .

Simplified Data Search

Plumb5 Machine Translation Algorithm can make a huge difference in the way we perceive data discovery. You can overlay this algorithm over any kind of data sets over which you can simply query in natural language to visualize insights across any data parameter.

The algorithm plays over a modular semantic model, which can be tweaked based on incoming datasets. Based on the incoming parameters, the algorithm will translate the natural language text to machine query, in order to identify the desired parameters. Based on the parameters selected, the model presents raw or computed outputs,  derived from rules of the model. Continue reading →

Customer Engagement Using AI

It could be said that in the near future, customer engagement which encompasses product marketing, query handling, customer support can be handled by machines without much human intervention.

Customer Marketing, Sales, and Support, which is mostly built on communication, is always a dialogue between a particular customer and the brand. This human dialogue (interactions) is mostly about seeking information about your brand, or negotiations before purchase or after sales queries or issues, managed by support teams. Continue reading →

Prism of Possibilities

Plumb5 integrated learning engine can provide businesses with a range of growth possibilities influencing top-line and bottom-line revenue growth. The AI engine which learns from the unified customer stack using segment-of-one customer data is able to address individual patterns and deliver personalization based on individual patterns. For a more global view, these similar individual patterns are grouped for users to view at a macro-segment level.

Listed are the aspects that are solved or optimized in order to ensure business profitability through AI and Automation. Continue reading →

Overlay NLP Based Search over any data infrastructure

easy

 

The Plumb5 Data Search allows users to simply search for answers and reports by simply integrating it into the existing data environment.

The integration can be done in 3 easy steps

  1. Data Tagging: If the data is lying in silos and not unified, then we plug all data sources to tag relevant data entities using the tag manager. If data is unified, we can jump to the next step.
  2. Based on the relationship, we generate a structure and map it with the NLP keyword list, created by the data prep team.
  3. Set permissions for users allowing them to get answers within the permissible limit

The business can now allow any user to ask and find answers or reports over the connected data. This saves the humungous amount of time required for techies and analysts to create custom reports over multiple silos.

As data grows, all we need to do is to add the new data entities to the relationship structure and update the keyword list.

The Plumb5 Data relationship model is scalable. Click here to read about the data model and how it helps in real-time data synthesis.

 

Data Security and Governance

As the volume and proliferation of data—from cloud to mobile to social to machine—continues to grow, serious measures need to be taken to deliver safe harbor for sensitive data. Data security governs protection across data states throughout its lifecycle, whereas data privacy defines that access based on privacy policies and laws.

The focus of this article is to explain how Plumb5 users can easily govern their data by controlling data access to its unit parameter and be assured of protection across data states (in motion, at rest, creation and disposal)

Data Security: Businesses can address each of their security needs by data masking and data encryption techniques across the 4 data states. Be it data for customer service, analysis, learning or reporting or even to share it with outsourced vendors, sensitive data can be protected from any kind of attacks.

dataprotRobust network security will help protect data in transit. Firewalls and network access control will help secure the networks from attacks and intrusion.Dynamic data masking limits sensitive data exposure by masking it to non-privileged users.

Policies for systematically categorizing and classifying all company data, no matter where it resides, in order to ensure that the appropriate data protection measures are applied while data remains at rest and triggered when data classified as at-risk is accessed, used, or transferred.

By defining, analyzing, and protecting sensitive data at its source, Plumb5 helps in keeping your data secure before it proliferates throughout your organization.

Data Access and Permissions

The platform provides a flexible data sharing model that makes it easy to assign various data sets to different sets of users. This ensures you can balance security and convenience, minimizing the risk of stolen or misused data while making sure all users can easily access the data they need.

The platform includes simple-to-configure security controls that make it easy to specify which users can view, create, edit, or delete any record or field in the app. You can configure access at the level of the organization, objects, fields, or individual records.

create_user_perm

By combining security controls at different levels, you can provide just the right level of data access to thousands of users without having to specify permissions for each user individually.

Users can create a user group and map data columns individually with further permissions to read/write data.

With the unified data architecture, the business can improve privacy through individualization where privacy rules can be designed based on traits and preferences, which can help in individual compliance with data privacy.