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Endor: AI for e-commerce companies and P2PB2B listing

Biweekly update 19th February — 5th March

This is not financial advice.


Github metrics

The table above illustrates low development activity. A lot of the information is private at present, the technology is at least in part private.

Social encounters

The article covers four ways e-commerce companies are making use of AI:

  1. More Intelligent Platforms That Lead to Higher Conversions.

The user experience (UX) of your website correlates directly to conversions. Businesses have been investing billions into UX improvements, such as mobile optimization and better platform designs. Smarter e-commerce platforms that use AI and machine learning predictions to create a better experience for customers are helping to address these UX issues.

2. AI Leads to More Data-Driven Business Decisions

Data is key to smarter decision making, but analytical reports have only been able to show businesses what has worked in the past. Through AI and machine learning, e-commerce companies can now predict future trends and make smart decisions based on those forecasts. This capability can be extremely helpful for things like inventory management. Predictive technology can spot upward (or downward) trends in the market and alert you ahead of time so that you can order a more precise amount of inventory for the next round of purchases.

Of course, e-commerce businesses will only be able to fully take advantage of AI if they have access to large amounts of data and the appropriate manpower to process it. Endor’s predictive AI solution is helping to make this a reality by introducing a machine learning engine that’s effective and nimble enough to service businesses of all shapes and sizes, while cutting down human labor expenses and knocking down price per prediction. Endor’s platform can “digest” a raw data set, then answer questions related to the data presented, such as “Which stores are likely to sell 25 percent of brand X in the next quarter?” or “Which audience segment will be buying X product in the next two months?” all in a matter of hours. This means that businesses don’t have to hire an entire team of data scientists to get the same job done, instead relying on the Endor AI solution to reach the same results.


3. Powerful AI Chatbots That Solve Customer Pain Points

The use of chatbots has exploded over the past few years, and consumers are beginning to get more comfortable with using them as a first point of contact with a business. Drift conducted a study on consumers’ feelings regarding AI-powered chat, and found that while human interaction is still the preferred method for customer service, the majority of people are starting to see how using a chatbot could benefit them for specific circumstances, such as getting an immediate answer or resolving a complaint.

Using AI chatbots can be a huge cost savings for online retailers as well. TechStyle Fashion Group runs several major e-commerce sites, including JustFab and Fabletics. The company recently integrated an AI self-service solution omni-bot to handle customer service issues. Overall, this chatbot significantly reduced the number of calls to its contact center, saving the business over $1 million in 2017. Furthermore, customer satisfaction rates were maintained and the time it took to resolve issues was reduced.

4. Creating New Ways to Shop

Another way that AI is turning the online retail sector on its head is by opening up an entirely new avenue for consumers to transact. The use of voice-powered AI shopping assistants like Amazon’s Alexa and Google Home have become increasingly popular. Users can order items by simply issuing a command to add to their cart. According to a study from Capgemini, 24 percent of consumers now say they would rather use a voice assistant over a website to make a purchase. Additionally, 35 percent use them to buy their most frequently purchased items like groceries, home-care products, and apparel.

As AI-powered voice shopping continues to grow, online retailers will need to optimize their sites and product pages for this type of purchasing. Brands will need to focus on SEO strategies since voice assistants rely heavily on exact keyword phrase matches. E-commerce marketers will also need to think about how natural language search queries work, as well as create content that accommodates voice-powered purchases.

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Token holders and number of transactions (information from

The implementation of Artificial Intelligence is getting broader. Endor is using this technology in a prediction model for business. The token of the platform just got listed on p2pb2b.

Endor is an AI-based platform that can answer any predictive business questions. The data uploaded to the network is processed and the system provides users with automated and encrypted predictions. The platform can be used by any user involved in BI, Sales, Marketing making the work of these departments even more convenient.



  • 2014–2018: ENDOR Automated Service AI Predictions, For Companies

Business users ask predictive questions and get automated accurate predictions based on their data. No data science experience is required.

Distinct Achievements:

• Fortune 500 customers

• Industry validated disruptive tech

• World Economic Forum “Technology Pioneer”

• Gartner “Cool Vendor”

  • H2 2018: Self-Serve Predictions Platform On Supported Data

EDR token holders can order look-alike predictions on Ethereum wallets and ERC20 tokens.

Key activities:

• Process Ethereum Blockchain data

• Process ERC20 tokens data

• Optimized for crypto predictions

• Open protocol self-serve basic implementation

• Supporting first Catalysts running on the Endor Protocol

Not open for public testing yet. Only through partners apps.

What’s up next?

  • H1 2019: Self-Serve Predictions On CUSTOMER’S PRIVATE Data

EDR token holders can order look-alike predictions based on their private data. (SMB customers)

Key activities:

• Companies can upload their private data (with the assitance of the Endor Team)

• Run protocol self-serve predictions on the private customer data

• Enhanced Catalysts program of the Endor Protocol (supporting multiple catalists)

  • H2 2019: Self-Serve Predictions On External Data Providers

External data providers will be able to register their data set and use it for prediction generation

Key activities:

• Support protocol data provider to upload external datasets for predictions

• EDR holders will be able to run self serve predictions on rich dataset catalog

• Create a smart contract billing infrastructure , to support endor protocol vision

  • H2 2020: ENDOR PROTOCOL API For Businesses, Catalysts, And Professionals.

Businesses and professionals will be able to utilize the Endor Protocol API in order to easily integrate Endor Protocol within their organization or application.

Key activities:

• Prediction RestAPI A-Z self-serve. From public/private data to accurate predictions

• Smart billing utilizing Smart contract, to support the Endor Protocol Eco system.

Partnerships and team members

No updates.


No updates.

Social media metrics

Social media activity
Social media dynamics
Social media dynamics

The charts above illustrate a slight decline in the number of Telegram followers. In general, Endor experiences low to average level of social activity.

The information is taken from

This is not a financial advice.

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