SmartRabbitz delivers Chatbots with a focus on practical outcomes, maintainable architecture and close collaboration with your team.
Business problems solved
- Need for specialist capability without building a large in-house team
- Pressure to deliver reliable software on predictable timelines
- Integration complexity with existing systems and vendors
Solutions and deliverables
- Consulting, design and implementation support for Chatbots
- Clear milestones, documentation and knowledge transfer
- Option to scale from a focused engagement to a dedicated delivery pod
Who this service is for
Organisations looking for an engineering partner to design, build or extend software capabilities in this area.
Technology and integration approach
Technology choices are matched to your roadmap, team skills and operational constraints.
Security, governance and compliance
Security and access control are addressed during architecture and delivery planning.
Implementation process
- Discovery and scope
- Solution design
- Build and validation
- Release and support
Case evidence
Explore related capabilities on our services page.
Questions buyers ask
- How do we get started?
- Contact us with your goals and we will propose a discovery session.
Next step
Tell us what you are building and we will recommend next steps.
Use AI chatbots for Marketing, Customer Service, Issue Resolution, HR and more.
Chatbots for Enterprises
Chatbots can be integrated with ERPs to carry out routine tasks more efficiently, saving on the cost of resources. The three main instances where chatbots come to operation are Self-service applications, Round-the-clock automated interaction and Integration with enterprise applications for different teams to function efficiently.
E-Commerce
Bots act like personal shopping assistants engaging users by suggesting products to purchase and notifying them on real-time offers and delivery status of purchased items. They can help a customer identify and shop for a product by engaging in question-answer interaction influenced by the customer’s browsing pattern.
HR & Recruitment
An employee in a business firm can inquire details such as company policies, vacation and holiday details, medical insurance and travel allowance details to a virtual office assistant chatbot integrated with other applications in the enterprise. Chatbots take away many mundane tasks from the shoulders of recruiters. Bots can analyze information from different sources and help shortlist candidates based on input criteria.
Personal Finance
Through quick and simple conversations, bots provide real-time investment advice and help carry out banking tasks such as payments and checking transactions.
Hospitality
A virtual hospitality assistant available round the clock helps users plan a stay, book rooms, and avail amenities through chatting, providing greater customer satisfaction.
Travel
Travel bots provide personalized services from booking tickets to timely notification of logistics alerts which are time sensitive through quickly accessible messaging interfaces. A person who wishes to travel can visit an airline website and interact with their chatbot to find the right flight and book tickets. The bot answers to related queries and provide personalized recommendations and offers on hotels, tourist attractions if programed to do so.
Automotive Dealers
Car dealer bots help car shoppers find their perfect vehicle. The bots ensure 24/7 sales assistance, so the dealership never misses a lead or keeps a customer waiting.
Chatbot with Character
In the present era of AI and Machine Learning, having a distinct character/personality is what makes a chatbot appealing to users. Bots can be trained to express their personality through language and expressions. Designers feed in empathetic responses anticipating all potential directions of conversations. Besides, Machine Learning enables them to learn from the conversations they engage in. Based on the required usage, the expressiveness as well as the kind of expressions of the bots can be adjusted. As an example, a hospitality chatbot may have ‘lighter’ expressions when compared to that of a personal finance advisor chatbot.
Natural Language Processing
Bots analyze language usage patterns from conversations to respond accordingly. Responding in this fashion instead of providing search results for inquiries, makes the conversation appear more personal than machine-like.
Sentiment Analysis
Bots are programmed to understand the tone of a conversation by recognizing the sentiment associated with words. As an example, a bot can be programmed to speed up resolution of a request rather than engage more in pleasantries, when it identifies urgency in a request.
Machine Learning
Bots are built with algorithms that automate learning by identifying patterns in input data. With more conversations, the bot automatically improves and performs predictive analytics to prepare itself with relevant responses. In other words, machine learning is what makes a bot think and respond.
Entity Recognition
Bots recognize entities by identifying and categorizing data such as name, place, organization, events and other parameters from inquiries. The categorized data will then be mapped to known entity types in order to provide relevant responses.