Conversational Bots for Scheduling Appointments

Business challenges

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Time zone mismatch: It can be challenging to find a mutually convenient time for a meeting that takes into account the time difference between locations.

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DST (Daylight Saving Time) confusion: DST changes can cause scheduling problems, as it affects the time difference between locations, leading to confusion and potential miscommunication.

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Miscommunication and scheduling errors: Manually coordinating meeting schedules with participants from different continents is prone to errors and miscommunications, leading to rescheduling and wasted time.

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Inefficiency and reduced productivity: Manually scheduling and coordinating meetings across continents is time-consuming and can reduce productivity as it diverts resources from other tasks.

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Difficulty in managing schedules of multiple participants: Scheduling meetings with multiple participants can be challenging, especially when considering the availability of each person and conflicting schedules.

Solution Overview

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OptiSol has developed a chatbot solution to schedule meetings with the option to add any number of participants.

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The chatbot is integrated with MS Teams and collects employee responses.

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The time zone and DST information is used during the scheduling of meetings.

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The Graph API is utilized to obtain information about employees.

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Employee responses are gathered through the chatbot integrated with MS Teams, processed with Rasa, and replied with valuable information.

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Individuals with similar interests are grouped together and meetings are scheduled for them to discuss and share their interests with others.

Business Impact

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Increased efficiency: Chatbots can automate the scheduling process, freeing up staff time and increasing efficiency, while providing 24/7 access to scheduling.

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Reduced scheduling errors: Chatbots can eliminate human error in scheduling and reduce miscommunication, ensuring that all participants are on the same page.

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Increased customer satisfaction: Chatbots can make it easier for clients to schedule meetings at a time that suits them, which can increase customer satisfaction.

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Better collaboration and teamwork: By automating the scheduling process, chatbots can help facilitate teamwork and collaboration across different time zones and DST.

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Improved time management: Chatbots can help teams better manage their time by automatically coordinating schedules and finding common meeting times, leading to more productive meetings.

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Time and cost savings: Automating the scheduling process with a chatbot solution can save time and reduce costs compared to manual scheduling methods.

Technology Stack

Trusted and Proven Engagement Model

  • A nondisclosure agreement (NDA) is signed to not disclose any sensitive information revealed over the course of doing business together.
  • Our NDA-driven process is established to keep clients’ data and IP safe and secure.
  • The solution discovery phase is all about knowing your target audience, writing down requirements, and creating a full scope for the project.
  • This helps clarify the goals, and limitations, and deliver quality products & services.
  • Our engagement model defines the project size, project development plan, duration, concept, POC etc.
  • Based on these scenarios, clients may agree to a particular engagement model (Fixed Bid, T&M, Dedicated Team).
  • The SOW document shall list details on project requirements, project management tools, tech stacks, deliverables, milestones, timelines, team size, hourly/monthly rate cards, billable hours and invoice details.
  • On signing the SOW, an official project kick-off meeting shall be initiated.
  • Our implementation approach, ecosystem, tools, solutions modelling, sprint plan, etc. shall be discussed during this meeting.

Our Award-Winning Team

A seasoned AI & ML team of young, dynamic and curious minds recognized with global awards for making significant impact on making human lives better

Awarded Bronze Trophy at CII National competition on Digitization, Robotics & Automation (DRA) – Industry 4.0

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5yrs

in AI & ML
Engineering

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40+

AI & ML
Projects for
reputed Clients

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50+

AI & ML
Engineers

Awarded as Winner among 1000 contestants at TechSHack Hackathon

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