Unlock Hidden Understanding
Using Predictive AI
Key AI Tool Features
Put Experiences Forward
Looking forward into the undetermined to make the best possible decisions is what helps define the success of leaders.
The centralized predictive analytics workbench allows people to make the best possible decisions by:
- Leveraging real time events that are happening across the organization
- Quickly consider different options and see the probable outcome of each
Integrated AI Powered Workbench
Easily add the key results you'd like to check with the AI platform and get immediate prediction scenarios.
Predict your business risks and not miss out on opportunity by validating strategies within the workbench
Check positive and negative scenarios before making the decision
Identify the growth points and new opportunities for your business
Hundreds of organizations leverage
Put It Forward's artificial intelligence solution
Common Predictive Analytics Use Cases
Intelligent cross-selling and up-selling
Problem: Service providers use cross-selling for complementary services and upselling to move customers to higher-tiered spending plans. However, the profit decreased because of customers churn —no AI for customer engagement.
Solution: Improve profits and reduce churn by enhancing stickiness and customer loyalty. Embed sales and marketing AI to process data and identify buying trends and target segments.
Result: Service providers increased revenue with AI. Now they can cross-sell and upsell at higher rates and boost overall sales and profits with the help of sales and marketing AI.
Lifecycle pricing optimization
Problem: The current pricing methods are limited by the visibility of competitors’ prices. No sales and marketing AI to monitor and correct pricing strategies successfully.
Solution: Apply AI revenue forecast and NLP classification for pricing. Collect and analyze the competitors’ market area, pricing, and product attribute data, and model customer behavior.
Result: A holistic approach to setting prices throughout merchandise and assortment life cycles and across markets and channels to realize business objectives.
Problem: Today's organizations are dealing with more and more data from different sources. The signals of risk are often distributed across multiple sources and need to be correlated for understanding. This slows down process speed or introduces unknown risk into a system.
Solution: Unify data sources into a single feed, through a common platform or centralize under a common management framework to gain exposure the entire data set. This makes it possible to correlation analysis at scale and identify patterns and unsee risk. planning.
Result: The result is that peoples time shifts from trying to tie pieces of information together using whatever means possible to focusing on understanding the risk and paths to remediation.
Use Delphi Artificial Intelligence Solution to Scale with No Losses
No Code AI Tools You Control
Create Optimal What If Scenarios
Understand Platform Answer Quality
You Can Explain With Predictive Analytics
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The Put It Forward Predictive Analytics solution analyzes the current and historical data and delivers insights through intelligent dashboards.
Mitigate risks and increase revenue with AI - create and train your model with predictive AI.
Learn How To Achieve Success with AI Tools
How Professionals Identify The Best 'New' Customer
Read how to increase revenue with AI and predict customer preferences and buying patterns. Easily understand what the customer wants.
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Understand how to use predictive customer lifetime value to gather historical data, get more sales, and increase customer retention.
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Understand Your Data Context - Why Choose Put It Forward?
Automation capabilities, security, governance, monitoring, and explainability
No-code predictive model building, AI for customer engagement
Easily ingest, prep, and versioning any form of data
Supports multi-cloud deployment scenarios
Supports the full ML lifecycle tools
Management from multiple clouds, SaaS, applications, and services
Frequently Asked Questions about predictive AI
There are multiple AI tools for data analytics, visualization, and monitoring. With their use, organizations can obtain cross-platform insights and make more accurate executive decisions driving revenue to the organization.
AI-based data insights software by Put It Forward will help business owners and employees analyze high volumes of data faster, identify customers' preferences and needs, and predict their next step to engage effectively.
Predictive AI is a type of artificial intelligence that is used to make predictions about future events and trends.
Artificial intelligence predictive analysis systems are trained on historical data in order to learn how to make predictions about future events. With the use of the solution by Put It Forward, business leaders can make accurate AI revenue forecasts, identify new opportunities, and increase the quality of their decisions using actionable insights.
Predictive analytics is a field of data analytics that uses historical data and innovative techniques to forecast future events and conduct advanced data analysis.
Predictive analytics uses a variety of data sources, including financial, customer, and behavioral data. Predictive analytics techniques include regression analysis, time series analysis, machine learning, and artificial intelligence software.
Predictive no-code data analytics can be used to forecast a variety of events, including customer behavior, product demand, or financial market trends. It improves decision-making, by providing organizations with better information about future events.
What’s the difference between artificial intelligence and predictive analytics? Predictive analytics is a branch of AI that deals with making predictions based on data. AI, on the other hand, is a much broader term that covers a wide range of technologies, including machine learning, natural language processing, and robotics.
There are a few different ways of using predictive AI for marketing. One way is to use it to predict what customers are likely to want or need in the future, and then create marketing campaigns that target those needs.
Another way is to use AI-based market prediction to segment customers into different groups so that marketing efforts can be better targeted. Moreover, predictive AI for marketing can be used to personalize messages for each individual customer based on their predicted behavior, and perform AI revenue forecast.