Demo
Goal: Show how Dreamshot solves their specific challenges and secure next steps (POC or proposal).
Meeting Structure
Duration: 30-45 minutes
Goal: Show them exactly how Dreamshot solves their specific challenges, and define clear next steps.
Demo Principles
- Start with their pain: "Last time we talked, you mentioned [specific challenge]. Let me show you how we address that."
- Show, don't tell: Spend 80% of the demo actually demonstrating, not explaining.
- Use their products if possible: The most compelling demo uses their actual SKUs or vehicles.
- Pause for questions: After each major feature, ask "Does this make sense for your use case?"
- End with clear next steps: Never end a demo without defining what happens next.
Demo Scripts by Industry
- Fashion Brands
- Fashion Marketplaces
- Automotive OEMs
- Car Renting
Pre-Demo Preparation
- Review discovery notes - what's their #1 pain point?
- Prepare examples relevant to their product category (apparel, accessories, footwear)
- If possible, get 2-3 product photos from their website to demo with
- Have case study ready (D.Franklin, Ecoalf) that matches their situation
Demo Flow
1. Recap (3 min)
"Thanks for joining. Last time we talked, you mentioned [specific challenge - e.g., 'ad fatigue on Meta' or 'photoshoot costs']. Today I want to show you exactly how we address that."
2. The Problem (2 min)
"Fashion brands like yours typically run [X] photoshoots per season, spending [Y] and waiting [Z] weeks for assets. Meanwhile, Meta's algorithm rewards fresh content - so by the time your assets are live, you're already behind."
3. Live Demo (20 min)
| Step | What to Show | What to Say |
|---|---|---|
| Upload | Upload a product photo | "We start with your existing product images - no new photoshoot needed." |
| AI Generation | Generate variations | "In seconds, we create multiple variations - different backgrounds, angles, styling." |
| Brand Consistency | Show brand-trained output | "This is trained on your brand guidelines, so every output is on-brand automatically." |
| Export | Show export options | "Direct export to Meta, TikTok, or your DAM - ready to use immediately." |
| Bulk | Show batch processing | "And this scales - generate hundreds of variations overnight." |
4. Results Proof (5 min)
"Here's what D.Franklin saw: 30% ROAS improvement, 500x more content variations, and they cut their photoshoot budget by 60%."
5. Q&A (10 min) Address questions, then transition:
6. Next Steps (5 min)
"Based on what you've seen, I think a proof of concept with [X of their products] would help you see this with your actual brand. How does that sound?"
Key Objections During Demo
| Objection | Response |
|---|---|
| "The quality isn't quite right" | "This is our base model - we train specifically on your brand guidelines for production use." |
| "Can it do [specific style]?" | "Let me show you..." (if yes) or "That's something we can train for" (if no) |
| "How does pricing work?" | "We typically do per-image or subscription - let me walk through options after the demo." |
Pre-Demo Preparation
- Review discovery notes - is their pain more about brand content quality or internal production?
- Take screenshots from their marketplace showing visual inconsistency
- Prepare before/after examples of standardization
- Have examples from similar marketplace categories ready
Demo Flow
1. Recap (3 min)
"Last time we talked, you mentioned [specific challenge - e.g., 'inconsistent brand photos' or 'manual editing overhead']. Today I want to show you exactly how we solve that at scale."
2. The Problem (2 min) Show their own marketplace:
"Here's what I noticed on [Marketplace name] - this listing has a white background, this one has lifestyle, this one is inconsistent. That visual inconsistency impacts conversion and brand perception."
3. Live Demo (20 min)
| Step | What to Show | What to Say |
|---|---|---|
| Input | Show varied brand images | "This is typical of what brands send you - different backgrounds, lighting, quality." |
| Standardization | Show unified output | "We automatically standardize everything - same background, same styling, same quality." |
| Batch Processing | Show bulk workflow | "This works at scale - process thousands of SKUs automatically." |
| Quality Control | Show approval workflow | "Your team can review and approve in bulk." |
| Integration | Show API/export | "This integrates directly with your catalog management system." |
4. Results Proof (5 min)
"Marketplaces using standardized imagery see 15-25% higher conversion. One client reduced their manual editing time by 80%."
5. Q&A (10 min)
6. Next Steps (5 min)
"I'd suggest we run a pilot with [category] - maybe 100 SKUs - so you can see the quality with your actual catalog. What do you think?"
Pre-Demo Preparation
- Review discovery notes - is focus on configurator, marketing, or both?
- Prepare examples from automotive clients (KIA, Toyota)
- Have before/after of AI vs. traditional vehicle imagery ready
- Research their current model lineup and which launch is upcoming
Demo Flow
1. Recap (3 min)
"Last time we talked, you mentioned [specific challenge - e.g., 'configurator coverage' or 'marketing asset lead times']. Let me show you how we address that."
2. The Problem (2 min)
"Traditional vehicle photography requires shooting every color, every trim, every angle. That's [X] photoshoots per model. And if you need a configuration you didn't shoot, you're out of luck until the next session."
3. Live Demo (20 min)
| Step | What to Show | What to Say |
|---|---|---|
| Base Input | Show vehicle imagery input | "We start with a base photoshoot - you shoot one hero configuration." |
| Color Variants | Generate color variations | "From that, we generate every color in your palette - photorealistic, production-ready." |
| Backgrounds | Show environment variations | "Place the same vehicle in any environment - studio, lifestyle, location-specific." |
| Configurator | Show trim variations | "Different trims, wheels, accessories - all from the same base." |
| Marketing | Show campaign assets | "And create social-ready content with lifestyle contexts." |
4. Results Proof (5 min)
"KIA achieved 3x engagement lift on social with AI-generated lifestyle imagery. Toyota is using this for complete configurator coverage without shooting every combination."
5. Q&A (10 min)
6. Next Steps (5 min)
"I'd suggest we do a proof of concept with [specific model] - generate [color/trim] variations so your team can evaluate quality. When's your next model launch?"
Pre-Demo Preparation
- Review discovery notes - is focus on consistency, speed, or cost?
- Take screenshots from their fleet listings showing inconsistency
- Prepare OK Mobility case study
- Have before/after examples of fleet standardization
Demo Flow
1. Recap (3 min)
"Last time we talked, you mentioned [specific challenge - e.g., 'inconsistent photos across locations' or 'slow time-to-list']. Let me show you how we solve that."
2. The Problem (2 min) Show their own listings:
"Here's what I noticed in your fleet - this SUV has a dealer lot background, this one is professional, this one is taken with a phone. That inconsistency affects how customers perceive your fleet."
3. Live Demo (20 min)
| Step | What to Show | What to Say |
|---|---|---|
| Input | Show varied fleet photo | "This is typical - photos taken at different locations, different lighting, different quality." |
| Standardization | Show unified output | "We standardize everything - same background, same angle, professional quality." |
| Aspiration | Show lifestyle placement | "Or place your fleet in aspirational settings - airport, hotel, scenic drive." |
| Scale | Show batch processing | "Process your entire fleet in hours, not weeks." |
| Refresh | Show seasonal updates | "And update seasonally - winter backgrounds, summer destinations." |
4. Results Proof (5 min)
"OK Mobility standardized their entire fleet presentation with us. They're seeing higher booking rates and can command premium pricing because their listings look premium."
5. Q&A (10 min)
6. Next Steps (5 min)
"I'd suggest we run a pilot with [vehicle category] - maybe 20-30 vehicles - so you can see the quality with your actual fleet. How does that sound?"
Handling Demo Technical Issues
| Issue | Response |
|---|---|
| Demo environment slow | "Let me show you a pre-rendered example while that processes - same result, just faster to view." |
| Output quality not perfect | "This is our base model - for production, we train specifically on your brand/vehicles for better results." |
| Feature not available | "That's on our roadmap. Let me note that as important for you and check timeline." |
Demo Goals
When you complete the demo phase, you must achieve four things:
- Metrics alignment - Know exactly how they'll measure success (ROAS, CTR, engagement, cost savings)
- Implementation method - Decide the right approach (API integration, self-serve platform, managed service)
- Pricing inputs - Gather info for pricing: content volume, platforms, per-image vs subscription, existing budget
- Next meeting - Set date for next demo meeting with stakeholders, or for implementation kickoff
Post-Demo Checklist
- Send follow-up email within 24 hours
- Include any assets/examples shown during demo
- Confirm next steps (POC, pricing discussion, stakeholder meeting)
- Update deal stage in HubSpot
- Create tasks for any follow-up items
Signature meaning
The signatures for the approval process of this document can be found in the verified commits at the repository for the QMS. As a reference, the team members who are expected to participate in this document and their roles in the approval process, as defined in Annex I Responsibility Matrix of the GP-001, are:
- Author: Team members involved
- Reviewer: JD-003, JD-004
- Approver: JD-001