Increase sales with personalised
and automated customer
experience via AI-Voicebot

Challenge

  • 70% of online carts are abandoned

  • 90% of customers rate an immediate response as essential when they contact customer service

  • 60% of consumers say they’ll become repeat customers after a personalised shopping experience

How Voicebot helps

  • Calls customer with personalized offer based on their choices

  • Voice calls have the highest engagement rates

  • After the call Voicebot sends SMS with details and updates CRM

Integration with any CRM

Support during & after implementation

AI-Voicebot for cost-efficient sales and customer service

  • Reach out to leads and customers the minute they leave a request

  • Do mass outreach campaigns for 10000+ contacts quickly with no additional hires

  • Save time & resources automating pre-qualification of requests

  • Personalise your communication with leads and customers with no additional costs

  • Optimise sales and customer support scripts with quick & easy A/B testing

Convert abandoned cart into sales

Voicebot calls back with a better offer (voice calls have the highest engagement rates compared to email and SMS).

Increase loyalty with better customer service:

Zero waiting time when calling customer support and timely satisfaction surveys will ensure customers are happy with the experience.

Boost sales with smart personalization

Voicebot delivers personalised offers/discounts: e.g. on a customer’s B-day Voicebot calls him to offer a personalised discount.

Save time and money with routine automation:

Automated answers to FAQ and order statuses/details confirmation, as well as CRM management automation will save you time and money
63% of marketers see the highest benefit of personalization on conversion rate increase. Boost your sales with personalisation via AI-Voicebot!
Test abandoned
cart Voicebot
Test our Voicebot: you can go to Apifonica shop, choose some goods and place them in your cart and after that abandon the cart. Once you do that, Voicebot will contact you regarding the goods chosen.

Why choose Apifonica Voicebot?

Understands natural language

Via machine learning our Voicebot understands any customer: e.g., a person calls bank customer support about a blocked credit card. There are different ways to say this: my card is not working; it is blocked; I couldn’t make a payment; etc. Voicebot understands all these variants.

Can be integrated with any CRM/ecosystem

We already have integration with Teamtailor CRM and can integrate with any other CRM via Zapier. In addition, our solution is integrated with over 2k services like Google ecosystem, Microsoft, Facebook, Calendly, etc.

Quick and not expensive solution

Voicebot can be implemented in a few days - you’ll get editable scripts, speech synthesis and recognition, webhooks, SMS triggered by action/answer, local phone number and reporting. Pricing starts from 2800 PLN for 1000 contacts and integration. See pricing.
Business Standard says your employees spend more than 3 hours a day on activities that are easily automatable. Optimize workflow with Voicebot.

How Voicebot can scale
your ecom business?

1000+
calls per second 24/7/365
NLP
voicebot understands natural language which boost engagement
4.2 PLN
av. price of 1 lead qualified by Voicebot
150+
languages to talk to your leads like a local

FAQ

How much does this solution cost?

We offer 2 different packages and the cost depends on which package you choose and the number of contacts you want to process. The abovementioned variant with templates - Voicebot with Basic Functionality - would cost starting from 2800 PLN for 1000 contacts and integration. There’s also a Professional AI Voicebot with more comprehensive functionality. You can find details on both variants as well as the exact costs on our pricing page.

How long does it take to implement Voicebot?

It depends on which variant of AI-Voicebot you choose since we offer 2. First one with templates - Voicebot with Basic Functionality - can be implemented in just a few days. You get a fully functioning AI-Voicebot with editable script templates, speech synthesis and recognition, webhooks, SMS triggered by action/answer, local phone number and reporting.

In certain cases customers need something very customised and we provide that as well. There’s a custom pro version with conversational scenarios featuring multiple sequences of events/replies. Such Voicebot can consult in multiple areas, understand multiple intents and its implementation may take from 3 to 5 weeks.

Does Apifonica provide implementation support?

We provide full support from initial idea to the release of the project: we’ll set it all up for you. Moreso, our expert team provides initial analysis of your business workflows to ensure you get the optimum solution based on your problems, needs and goals. Depending on the complexity of your business process we provide adaptation and integration of our solution into your business processes and ensure smooth integration with your CRM system.

Can Voicebot replace a consultant?

Voicebot helps to automate repetitive tasks, e.g. frequently asked questions or order status confirmation. It can also automate CRM/HRM system management and reporting. This prevents real consultants from burning out and saves their time for tasks requiring more problem-solving and creative skills, like handling difficult client issues or consulting on uncommon questions. Such an approach increases the performance of your team.

How does vb know how to react? And what to say?

If your business model involves communication with customers, voicebot can help reduce costs in this area by 2-3 times compared to solving a problem via call centre. The average cost of qualification for one lead by Voicebot is just 0.80 euro.

Implementing it you also save time and costs in lead generation campaigns on filtering out junk leads, e.g. our client - e-learning platform with more than 1 million students - ran an ad campaign and Voicebot helped them qualify 5292 leads and filter out 2500 invalid phone numbers, no-answers, and so on. Now, multiply these 2500 junk leads by the 5 minutes it takes to qualify each of them, and you’ll get 208 hours of work that could be wasted on nothing (this amounts to 4550 euro in salary by the way). Also, it is easier to control the costs with Voicebot as it allows for quick and predictable scaling without additional hires.

How AI helps to understand the end user better and what machine learning has to do with it?

It all comes down to the process of intent matching, where AI based machine learning is applied. Machine learning mechanism compares the intent of the user with the intents that the voicebot knows and finds the best match. How does the matching process work? Machine learning algorithms calculate the confidence score for each intent that the voicebot knows. The confidence score is marked on a scale from 0 to 1. Where 0 means that the match is completely uncertain, and 1 means that the match is completely certain. The vb needs to find the user’s intents amongst all the variants. For this the threshold is defined in the process of the voicebot creation and testing. The threshold does not define how good the vb is in finding the variant. But it helps us to set how strict we are in letting the vb find the right intent. Opinions vary on what the threshold should be like, usually it’s from 0.3 to 0.7 depending on the complexity of Voicebot. So, again, In other words, machine learning classifies which intent that the voicebot knows is the most similar to the intent said by the user and this is how Voicebot understands people.

Sceptical about adopting this technology? Consider that 48% of customers already feel comfortable with interactions managed by bots.

How does vb know how to react? And what to say

So, let’s imagine a situation, where a bank customer calls a support, complaining about their credit card, which is not working. There are different ways to talk about this issue:
  • my card is not working;
  • my card is blocked;
  • I couldn’t make a payment;
  • something is wrong with my card;
  • why can’t I make a payment and so on.
Voicebot can understand all these different variants, including interjections through intents. An intent is basically what the user wants or their intention. In this case the intent is the - ‘blocked card’. And all the different ways, in which the user can express it, are called the ‘training phrases’. In other words, they are the predicted phrases that the user may say. When the user’s utterance overlaps with, or matches the intent that the voicebot knows, then the voicebot knows how to react and what to say.
Sceptical about adopting this technology? Consider that 48% of customers already feel comfortable with interactions managed by bots.