Accelerating 3D Ad-Content Creation for an Advertising Agency
An NDA client operates a creative agency that produces product advertising for eCommerce brands. To meet B2B and B2C campaign demand, the agency must deliver photoreal 3D assets such as models, turntables, and social clips at scale. Traditional CGI workflows took days per SKU, so the agency needed an AI-driven pipeline to shorten production cycles and unlock on-demand creative variations.
Project Snapshot
Client profile
Our NDA client runs a creative studio that produces advertising content for eCommerce brands. The agency supplies high-fidelity visual assets such as interactive 3D models, stills, turntable videos, and social-media clips. To win B2B contracts and engage B2C audiences, it must deliver photoreal assets quickly while maintaining artistic quality.
Project goal
Build an end-to-end, AI-powered pipeline capable of converting client-supplied photos or CAD files into ad-ready 3D assets with baked textures in just a few hours. The system needed to generate accurate digital doubles suitable for AR/VR experiences, product configurators, and marketing videos; automatically structure orders and SKUs; provide near-real-time reviews and approvals for artists and clients; and integrate generative AI modules that could produce additional creative variations on demand.
Business challenge
Traditional CGI workflows for advertising are labour-intensive. Manual tasks like photogrammetry alignment, hand-crafted retopology, and iterative texture painting cause bottlenecks. Producing one digital twin can take days, leading to long lead times and high costs. The agency needed automation to scale.
- Time & cost pressure: Photoreal digital twin production spanned days per SKU, slowing campaign timelines and inflating production costs. With advertising running on tight deadlines, the lag between brief and asset delivery directly limited how many campaigns the agency could run simultaneously
- Manual bottlenecks: alignment, mesh cleanup, UVs, and texture painting depended on expert artists — every step was a queue. A single complex SKU could block an artist for a full day while other projects waited
- Approval friction: stakeholders had no central review process, so feedback arrived by email, in calls, and in shared documents with no version control. Artists reworked assets based on conflicting notes, and neither side had clarity on what was approved
Solution
Advantrix Labs partnered with the client to build an AI-driven 3D content pipeline and collaboration platform tailored for advertising production.
- Automated reconstruction pipeline: Ingests photos or CAD, runs AI reconstruction, retopology, UV generation, and PBR texturing, then outputs optimized assets
- Generative creative variations: Integrates diffusion models to produce alternate scenes, backgrounds, and ad creatives on demand
- Order and SKU orchestration: Structured intake, automated naming and versioning, job queues, and status tracking
- Real-time review: Web-based previews, annotations, and approvals keep artists and clients aligned
Solution gallery
Product and workflow visuals from the delivered solution.
Business outcomes
The new pipeline reduced production time and enabled scalable delivery for ad campaigns without compromising quality.
- 75–80 % reduction in per-SKU production time: digital-twin creation dropped from days to a few hours, accelerating campaign timelines across the board
- 3× increase in campaign throughput: teams delivered consistent assets across product lines and seasonal drops without adding headcount
- 40 % faster approval cycles: real-time web-based previews and structured review workflows cut rework loops and shortened time-to-market for ad creatives
- ~60 % lower creative production cost per variant: generative AI modules enabled rapid A/B testing and localized campaign variants on demand, reducing the cost of each additional creative