Nielsen's enterprise planogram tool versus a modern AI-first alternative. Here's how they compare for retail merchandising.
Side-by-side breakdown of what each platform offers.
| Feature | SAGE | Quant |
|---|---|---|
| Free tier available | ✓ | ✗ |
| Photo-to-planogram (AI) | ✓ | ✗ |
| Mobile-first PWA | ✓ | ✗ |
| Smart glasses / wearable support | ✓ | ✗ |
| Real-time SAGE scoring | ✓ | ✗ |
| Barcode scanning | ✓ | ✓ |
| Brand compliance portal | ✓ | ✓ |
| Distributor intelligence | ✓ | Via Nielsen |
| Square/POS integration | ✓ | ✗ |
| AR-guided store walk | ✓ | ✗ |
| Gamified stocking | ✓ | ✗ |
| Syndicated market data | ✗ | ✓ |
| Starting price | Free / $49/mo | ~$5,000+/yr |
Key advantages SAGE has over Quant.
Quant costs $5,000+ per year before you add Nielsen data subscriptions. SAGE starts free and offers Pro at $49/month. For most retailers, that's the difference between possible and impossible.
Take a photo and get a digitized floor plan. Take another photo and identify every shelf product. SAGE's patented AI pipeline eliminates hours of manual data entry that Quant still requires.
SAGE is a PWA that runs on any phone, tablet, or computer with offline support. Quant is a traditional web/desktop application built for office use, not the store floor.
Being honest about where Quant has an edge.
Quant's killer feature is native integration with Nielsen's syndicated retail data — market share, category benchmarks, competitive sales data. If your merchandising strategy depends on Nielsen data, Quant makes that seamless.
Quant offers deep enterprise analytics tied to the world's largest retail data set. For Fortune 500 retailers who already pay for Nielsen, the analytics layer is powerful and well-tested.
What you pay and what you get.
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