Case Study: Barona & Advids - Ai Sales Video For Future-proof Automated Storage Solutions

Summary

To launch Avialogis, a cutting-edge automated storage solution, the client required a sales asset that could visualize massive infrastructure—specifically a 50,000-bin capacity system—before the physical facility was fully operational. Advids leveraged a hybrid production approach, The Advids NextGen Synthesis Workflow, utilizing Google Veo 3 for rapid environmental generation and Flow by Google for temporal consistency, blended seamlessly with high-fidelity Three-Dimensional product modeling. The result is a compelling visual narrative that validates the efficiency of the AutoStore and Modula Lift systems.

The Challenge: Visualizing the Non-Existent

Avialogis faced a classic logistics marketing dilemma: they needed to sell a high-density, automated warehouse solution based on speed and scale, but the physical site was still in the "opening phase." Filming a standard warehouse would not capture the futuristic density of the AutoStore grid. Furthermore, relying entirely on traditional Three-Dimensional modeling for the vast environment surrounding the grid would significantly inflate the budget and production timeline. The client needed a video that felt "real" but depicted a facility that was technically a digital twin of a future state.

The Solution: A Hybrid Generative Workflow

Advids proposed a groundbreaking solution: utilizing Generative Artificial Intelligence to synthesize the photorealistic warehouse environments and lighting scenarios, while reserving engineering-grade Computer-Aided Design conversion for the actual robotics. By treating the AI-generated backgrounds as "virtual sets" and compositing the precise AutoStore robots into them, Advids delivered a video that achieved the visual fidelity of a high-budget live-action shoot with the technical accuracy of an industrial simulation.

Client Profile

• Client: Barona / Avialogis
• Industry: Logistics and Automated Storage
• Location: Global/Finland
• Core Focus: Automated storage solutions, AutoStore, and Modula Lift technologies.

The Objective

The primary objective was to produce a sales enablement video that clearly demonstrates the "Goods-to-Person" principle, highlighting the speed of the robots, the density of the storage (50,000 bins), and the reliability of the system, ultimately driving adoption among logistics operators.

The Advids NextGen Synthesis Workflow

This project utilized our specialized Generative AI workflow, designed to accelerate Look Development and environmental creation while maintaining technical precision.

1. Strategic Prompt Engineering: Crafting text-to-video prompts to generate industrial backplates.
2. Model Selection (Veo 3): Generating high-resolution warehouse environments.
3. Temporal Consistency (Flow): Stabilizing AI output for professional use.
4. Hybridization: Compositing hard-surface 3D assets into AI environments.
5. Final Compositing: Integrating client-sourced live footage and motion graphics.

Project at a Glance

Project Timeline & Milestones

• Week 1: Strategic Alignment & Prompt R&D
  • Goal: Define the visual aesthetic of the "Avialogis" facility.
  • Artifact: Prompt_Matrix_Industrial_V4.txt
  • Quote: "The lighting in the generated clips needs to feel clinical but warm, not like a dark factory." – Client Feedback

• Week 2: Environmental Generation (Veo 3)
  • Goal: Generate 20+ usable warehouse backplates.
  • Artifact: Veo3_Environment_Selects_Set02.mp4

• Week 3: The Stability Protocol (Flow)
  • Goal: Process raw AI clips to remove temporal flickering.
  • Artifact: Background_Plate_Stabilized_Flow_V1.exr

• Week 4: 3D Asset Integration
  • Goal: Import AutoStore CAD data and animate robot logic.
  • Artifact: Animatic_Hybrid_Merge_V3.mp4

• Week 6: Compositing & Client-Sourced Footage
  • Goal: Integrate human workers and interface screens.
  • Artifact: Comp_Main_Timeline_V12.nk

• Week 7: Final Mastering & Audio
  • Goal: Final color grade and sound design.
  • Artifact: Master_Avialogis_Sales_Final.mov

The Production Deep Dive

Phase 1: Engineering the Prompt Strategy

The foundation of the project lay in accurately prompting Google Veo 3 to create warehouse aisles that matched the perspective needed for the 3D grid. Advids' creative team developed a "Prompt Matrix" to iterate on lighting conditions. We needed the environment to look like a modern European logistics hub—clean, well-lit, and organized.

• Action: We generated over 100 variations using prompts specifying "High-bay storage, cool LED temperature, depth of field."
• Advids Insight: The raw output often contained "hallucinated" text on boxes. We utilized Flow by Google to smooth out these artifacts, turning them into nondescript shapes that wouldn't distract the viewer.

Phase 2: The Hybridization Integration

The Critical Juncture of the project was the integration of the rigid, mathematical perfection of the AutoStore grid with the organic, slightly imperfect nature of Generative AI video.

• The Constraint: When placing the 3D grid into the AI-generated video, the camera movement in the AI clip (Veo 3) often had subtle perspective drifts that made the 3D objects appear to "slide."
• The Solution: Advids utilized a projection mapping technique. We selected a single, perfect frame from the Veo 3 generation and projected it onto simple 3D geometry. We then used Flow by Google to generate a motion vector pass that re-introduced the atmospheric dust and subtle lighting shifts, without altering the physical geometry. This allowed the 3D robots to interact perfectly with the "fake" floor.

Refining the Visual Language: The Feedback Loop

Effective communication via Vimeo Review was crucial for fine-tuning the hybrid look.

• Aesthetic Feedback:

  • Client: "The red on the robots in the 3D sections looks a bit flat compared to the live footage of the Modula lift."
  • Advids Response: "We are updating the Physically Based Rendering materials in the 3D suite to match the specular highlights seen in the client-sourced live footage. Reference Render_Test_Gloss_V4.png."

• Technical Feedback:

  • Client: "In the grid overview, can we show more 'traffic'? The system processes 50,000 bins, so it needs to look busy."
  • Advids Response: "We have increased the particle count for the robot crowd simulation. We are creating a new version, Grid_Sim_Heavy_Traffic_V2.mp4, to demonstrate maximum throughput."

Visual Asset Analysis

Synergy Analysis: Technology vs. Expertise

While Google Veo 3 provided the "canvas" for the massive warehouse, it was Advids' deep understanding of industrial animation that made the video effective. Generative Artificial Intelligence cannot yet accurately simulate the specific mechanical logic of an AutoStore robot—it hallucinates wheels and physics. Advids bridged this gap by using AI for the context (environment) and rigorous engineering-based 3D animation for the subject (robots). This synergy allowed for a video that was produced faster than a full 3D build but remained technically accurate.

Outcomes & Strategic Learnings

The final video successfully positioned Avialogis as a leader in automated storage.

• Visual Impact: The hybrid workflow allowed us to show a facility scale that physically did not exist yet.
• Efficiency: Using Generative AI for background environments reduced the 3D modeling man-hours by approximately 40%.
• Versatility: The asset serves as both a high-level marketing teaser and a technical explanation tool for potential investors.

Would you like me to develop a detailed script for a 30-second social media cutdown focusing specifically on the robotic efficiency metrics?

Final Video