Augmented Reality Solutions for Industrial Lubricants Wholesaler
Services Covered:

Industry
Engineering & Manufacturing
Duration
2 months
Budget
Less than 10K
Start Date
1 August 2019
Team Size
1-5
Engagement Model
Onshore
Project Capability Score (PCS)
79/100
Good
Project Capability Score (PCS) estimates how capable Ehecatl 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
Dmtress
Project Summary
Ehecatl developed AR/VR solutions for an industrial lubricants wholesaler, building an Android AR app with an AI calendar and adding shopping features. The project is finished and awaiting publication; the vendor met deadlines, often finishing early, and communicated clearly throughout the engagement.
Key Challenges
- Use AR/VR work to attract new clients
- Build engaging mobile AR features (AI calendar and shopping) for a wholesale business
Project Deliverables
- Android AR application
- AI-powered calendar functionality
- Shopping/e-commerce features added to the app
- VR-related work and experiences
Project Solution
Ehecatl built an AR app for Android that included an AI calendar, later adding shopping features and providing additional VR work. The team worked closely with the client (two people directly) and delivered the projects on schedule. The client invested roughly 20,000 MXN (~$1,027 USD) in the engagement.
Project Outcome
- Project completed and awaiting publication
- Met all deadlines and often finished earlier than expected
- Clear communication and strong client support during the project
Platforms
Mobile
AR/VR/XR
Tech Stack
Android
Client Endorsement
Overall Review Rating
5
5 out of 5 stars
Timeliness
Cost Rating
Willing to Refer
Quality of Deliverables
The app is awaiting publication, and we appreciate Ehecatl's hard work and dedication throughout the project. The team maintains transparency and consistently meets deadlines, supporting a reliable and productive collaboration.
Note: This endorsement is based on publicly available client feedback from external review sources.
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