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Backend & NLP Platform for Hospitality POC to MVP

Services Covered:

Custom Software Development • AI and Machine Learning
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Industry
Industry

Hospitality, Travel & Tourism

Duration
Durationinfo-circle

30 months

Budget
Budget

50K - 199K

Start Date
Start Date

1 March 2018

Team Size
Team Size

1-5

Engagement Model
Engagement Model

Nearshore

Project Capability Score (PCS)

gauge meter
79/100
Good

Project Capability Score (PCS) estimates how capable Sciant is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Hotel ResBot

map Germany

Project Summary

Sciant assisted a hospitality company to move from a proof of concept to an MVP by delivering backend development and bespoke NLP processing, working in two-week sprints. Their work increased intent-recognition accuracy from under 5% to over 96% and demonstrated strong domain knowledge in NLP and hospitality integrations.

Key Challenges

  • Move from a proof of concept to an MVP and beyond
  • Build and train a bespoke NLP engine because commercially available NLP solutions were insufficient
  • Deliver backend development and hospitality integrations to meet the client's use case

Project Deliverables

  • Backend development to move from POC to MVP
  • Bespoke NLP engine development and training for intent recognition
  • AWS-based serverless infrastructure (Lambda and databases)
  • Multi-cloud integrations including Google Data Studio for analytics

Project Solution

Sciant provided expertise in NLP and hospitality integrations and worked in two-week sprints to move the client from POC to MVP and continue to build out the solution. They developed and trained a bespoke NLP engine because off-the-shelf solutions were insufficient, and implemented backend services primarily on AWS (Lambda and various databases) while leveraging a multi-cloud approach for analytics such as Google Data Studio. The Sciant team embedded with the client, supplying a project manager/scrum master, a senior full-stack developer, and an NLP expert, and brought in additional specialists as needed.

Project Outcome

  • Increased intent recognition accuracy from less than 5% to over 96%
  • Improved project management practices and strong team embedding with the client

Platforms

  • CloudCloud
  • AI/ML PlatformAI/ML Platform

Tech Stack

  • Amazon Web Services (AWS)Amazon Web Services (AWS)

Client Endorsement

Overall Review Rating

4.88star

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

Sciant's help was exceptional. We used to have intent recognition accuracy of under five percent, and now we've reached 96% accuracy in our development process, which is a huge leap. What really makes them different is how well they know NLP capabilities and hospitality integrations.

Brendan May

Managing Director

Note: This endorsement is based on publicly available client feedback from external review sources.

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