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.
Get a demo of Rasa Enterprise
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. Employing more staff for sales was driving increasingly small margins, where the cost of smaller policies can exceed insurance premiums.
However, cost savings shouldnāt mean cutting corners to deliver a degraded customer experience. Helvetia were aware of this and sought to handle conversations and engage users proactively in an automated way, 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 offers insurance policies to customers, based on the cutting-edge tooling provided by Rasa. The team was able to design conversations that consider the userās context and understand natural language.
The graphical user interface from the suite of premium tools in Rasa X allowed non-technical team members to improve the assistant and to 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, leading to an improvement in customised accuracy. The assistant was deployed safely on-prem and and communicated with customers over text messages.
The Results
The careful implementation and āgo-liveā interactions with real customers produced incredible results, achieving a conversion rate of selling over 30% more insurance policies via text message. Using Rasa X, the team was able to leverage a wider range of Helvetia employees 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.
