The client is a US based eCommerce wholesaler offering hundreds of thousands of commercial restaurants supplies and equipment to diverse industries including food and beverages, healthcare and education, globally. Customer convenience is pivotal to their marketing strategy. Customers can place orders from any device round the clock.
The company showcased its entire range of products on its portal. To enhance user experience and drive greater conversions, it was imperative to offer a 360-degree view of the commercial restaurant equipment to make them look engaging and captivating. Creation of a realistic feel would entice consumers to make the buying decision.
For this, the client required:
- Low poly 3D models of commercial restaurant supplies and equipment with PBR (Physically Based Rendering) texture. The specific need for PBR texturing of the models was based on a texturing workflow that helps 3D models simulate real-life materials through consistent lighting
- Models with AR/XR capabilities
- Point Cloud 3D scans of the products received from client in OBJ (Wave front OBJect ) format and high-poly – were not useful for real-time previews.
- Distorted and incomplete scans received as inputs.
- The client sent generic information through a web link for a whole category of products which made it difficult to understand specific requirements like dimensions, textures for individual products.
The Hitech project team developed and delivered 500 low poly 3D models of commercial restaurant supplies and equipment that included:
- PBR texture and AR/XR capabilities with a 99% FTR rate to showcase on client website.
- Detailed 3D models in FBX (Filmbox) format with Texture Maps including Color Map, Roughness Map, Metallic Map and Normal Map.
- A 360 degree view of the restaurant equipment and supplies in AR mode, making the purchasing experience more realistic for customers.
- The point cloud scans, dimensions, and high-resolution images provided by the client as inputs were reviewed thoroughly by the team to check for readability and ensure that scans are not distorted.
- Cross evaluation of the scanned point cloud model was done with the web link to validate the scanned data.
- Once the validation was confirmed, the scanned model was used as reference data to create new models.
- The team interacted with client via RFI’s as and when required, to gain clarity and feedback.
- The modeling and texturing team used 3Ds Max and Photoshop to build the 3D models in low poly meshes, apply the necessary texture maps such as Color Map, Roughness Map, Metallic Map and Normal Map in FBX format and enrich the model with AR/VR capabilities.
- Once the rendered models went through a series of Quality checks, they were dispatched to the client.
- Software used: 3Ds Max, Photoshop.