Build a better understanding of what your prospects really want.
Create new sales opportunities with a virtual assistant. Meet your prospects and existing customers with up-to-date information on products and services.
Connect with any channel
Embed AI chatbots on mobile or on the web, using the messaging channels your customers prefer.
Fully customizable, multi-language NLU
Customize and train language models to understand vertical-specific terms. Serve multiple geographic markets, in any language.
Integrate & securely deploy anywhere
Integrate AI into sales and marketing business process automation. Deploy Rasa on-prem or on your preferred cloud provider.
Use Rasa to build natural language interfaces that plug into your existing sales toolkit.
Rasa virtual assistants educate prospects on the value of your products, removing the need to manually engage leads.
Help shoppers navigate the crowded retail landscape.
- Offer coupons and discounts
- Provide personalized recommendations
- Upsell and bundle products
- Provide conversational search and filtering
Case Study
Create a new sales channel through an AI assistant built with Rasa
The Challenge
Helvetia, a leading Swiss insurer, faced increasingly high customer acquisition costs. Adding sales headcount risked cutting into already slim margins, with the cost of smaller policies sometimes exceeding insurance premiums.
However, cost savings shouldnāt mean cutting corners or sacrificing customer experience. With this in mind, Helvetia sought to automate conversations and engage users proactively, without sacrificing quality. The Swiss insurance industry sets the benchmark for data privacy, another absolute requirement.
The Solution
Helvetia decided to build a powerful AI assistant that could offer insurance policies to customers via text message, with Rasa providing the underlying NLU and dialogue management. The team was able to design an experience that considers the userās context and allows the customer to engage using natural language.
Rasa Xās graphical user interface allowed non-technical team members to improve the assistant and train it with real user data.
Additionally, Helvetiaās lead developer on the project was able to tweak the machine learning models specifically for their use case, a customization that resulted in improved accuracy. The assistant was deployed safely on-prem, fulfilling data privacy requirements.
The Results
The careful implementation and āgo-liveā interactions with real customers produced incredible results, achieving a conversion rate of over 30% via text message.
Using Rasa X, the team was able to leverage a wider range of Helvetia employees, including those in non-technical roles, to establish excellent customer experience and iterate faster on feedback. The company now plans to expand the AI assistant to more use cases.
