Online shoppers want it all: variety *and* convenience, personalization without privacy transgressions, and a lot more!
They're right to demand it because the tech can make it happen. It's up to us, humans, to leverage the right tools to build that rewarding feeling throughout the customer journey.
As an ecommerce company, you can anticipate your customers' next shopping stage and cater to their individual needs.
You already have the data and the ecosystem. All you need is the right AI platform to deliver the industry’s holy grail: dynamic customized experiences that provide customers with satisfying shopping sessions.
Maximize the value you provide to customers and the ROI you get from them by infusing AI into your ecommerce flow.
80%
of customers are more likely to buy from brands that provide a personalized experience (Epsilon)
85%
of customer interactions will happen without human intervention by 2020 (Plytix)
We’re big believers in the power of context.
Understanding your customers’ circumstances and priorities is a powerful way to make better decisions, reduce waste (related to time, energy, and budgets), and to create more gratifying experiences.
AI can provide this context by processing large volumes of information and predicting people’s individual behaviors.
When working with practical AI applications, an ecommerce company like yours can scale growth without losing that highly coveted personal touch.
We’re excited to develop MorphL - an AI-as-a-platform - because we have the opportunity to empower companies to work with tech they couldn’t afford until recently.
We believe AI complements and amplifies human expertise, creativity, and judgement.
This is why we’re building AI applications that integrate into existing business flows and don’t require Machine Learning specialists to operate.
Unify data sources & eliminate data silos
Predict user behavior
Strengthen data integrity
Improve user recognition
Ensure compliance with data protection regulations
In ecommerce, AI plays a key role in reshaping the shopping experience. MorphL enables you to capture and apply scarce knowledge: predictions about your customers’ next shopping stage.
We believe the users’ activity (ex. browsed products, number of sessions, time on page, searches, etc.) and history are the most relevant indicators for their probability to convert.
We go beyond splitting users into converters vs. non-converters and focus on a much more specific targeting method - engage users depending on the most likely shopping stage they’re about to transition to.
You can apply this key competitive advantage to optimize your marketing process, reduce guesswork, and to make better decisions - often automatically.
✓ recommend products that match their needs
✓ incentivize additional purchases through highly targeted upsells
✓ provide social proof that matters for shoppers like themselves
✓ personalize remarketing offers to match individual users (without the privacy risk)
✓ enhance ad copy by leveraging customer reviews shoppers found useful
✓ reduce intrusiveness by using the right remarketing tactics that work for specific customers
Shopping stage prediction →
Upsell tactic
The next shopping stage prediction flow for ecommerce companies
Using an AI-as-a-service platform like MorphL means you can save a lot of time and effort spent pouring over analytics. Insights are automatically integrated into your ecommerce platform and the marketing technologies you use.
What’s more, MorphL predictions are exposed via an API you can easily integrate into your reporting dashboard. Plus, we fully automate the model training and predictions in our infrastructure.
Correlation between the next shopping stage prediction and the main factors that influence it
Use MorphL to identify and understand:
Make data-informed decisions and design upsell strategies to drive repeat purchases that feel natural for the customer.
We’re here to support you with knowledge, guidance, and AI expertise so you can make the most of MorphL and support business growth.
Need answers? Have any other questions, please get in touch.