Mud. Snacks. Spills
Genuine Nissan Accessories Service Drive POP
AI Asset Creation / Print
Brief
The client arrived with a simple ask: put a floor mat on a POP display, simple, physical, product-forward.
Solution
What we sold through was something far more ambitious. A technically immersive approach that put the Nissan All-Season Floor Mat to the test. Bold product photography with a lenticular section showing the mat in action across two distinct scenarios. All assets were pitched to be created using CGI.
Pivot
Mid-project, the client issued an initiative: Execute this entirely in AI. That changed everything and accelerated what was possible. We ended up with a fully AI-generated campaign for the Nissan All-Season Floor Mat Accessory.
Process
Step 01 – Ideation
CHAT GPT: Scenario Sprints
This is where the real creative fun began. I brainstormed scenarios and instantly visualizing them using Chat GPT. The mat being tested in every imaginable way.
40
Scenarios Explored
12
Pitched to client
2
Approved Scenarios
Step 02 – Production
Runway: Building the Base Image
Translating the selected scenarios into product accurate imagery required a completely new workflow. A straight swap failed, requiring a ground-up rebuild from a clean still reference. This was where we transfered to Runway AI to ensure product accuracy.
✗
APPROACH ABANDONED
PHASE A
Approach 1 Fails
Attempted a direct product swap from the Chat GPT generated scenarios into Runway. The model couldn’t maintain product accuracy while swapping the mat. The workflow was not viable.
✓
NEW FOUNDATION
PHASE B
Approach 2 Start From Scratch
Rebuilt from zero using a still reference. Generated a clean base floor mat image. No props, no elements, just the mat at the desired camera angle, ready for product correction.
4
PROMPT APPROACHES
PHASE C
Add the Wave
Introduced a wave to the floor mat to demonstrate material’s flexibility. More challenging than expected, I iterated through four distinct prompting approaches before arriving at a workable result.
Step 03 — PRECISION
78 Images. One Perfect Base.
Tedious, methodical, and fast. Area by area, cross-referencing the real product, the mat was rebuilt to 100% accuracy. Using Photoshop to composit the best parts from each generated frame into a single product correct base image.
78
Images generated for base mat
1
Composite final base
100%
Product accuracy target
Step 04 – Scene Building
Adding the Props
With a product correct base locked in, it was time to bring each scenario to life. Layer by layer, prop by prop, composited from the best of every generation batch.
PHASE A
Prop Generating
One prompt at a time. Introduced elements incrementally. Taking what worked from each batch and compositing forward.
~50–100 images per scene
PHASE B
Spill Scene 1
Muddy mess with pouring liquid. Chaos on the mat surface all contained by the high wall design.
PHASE C
Spill Scene 2
Second variation of the mess scenario. Targeting the families
2 final AI-created images
Step 05 – The Hang Tag
CAD + Blender + Runway
With the third AI asset, a hang tag detail shot, I introduced a new method. Real CAD data. A rough 3D render. A breakthrough workflow.
PHASE A
Source the CAD
Connected with the product specialist. Obtained the official CAD file for the KICKS All-Season Floor Mat.
PHASE B
Set the Stage in Blender
Established camera angle, lens, and key light. Full art direction control within a 3D environment. Rendered a clay (untextured) model.
PHASE C
Generate & Composite
Ran multiple generation batches. Composited the best elements in Photoshop into the final hang tag asset.
Final Deliverable
Service Drive POP. Delivered.
A fully AI-generated product campaign. Three distinct AI assets, two spill scene and one close-up hang tag detail. Assembled into a Service Drive POP display that places the Nissan All-Season Floor Mat as the hero.