Novi Connect

1. If a PIM/PXM system of record is the immediate priority

   • Organizations with chaotic product data and insufficient governance may find it necessary to implement a PIM-first solution (e.g., Akeneo, inriver, Salsify) before layering verification and distribution tooling.

2. If public, immediately accessible enterprise security certifications are required

   • Novi does not publicly display SOC 2/ISO certification badges in the materials reviewed. If procurement requires publicly available certification badges or cannot wait for NDA exchanges, a vendor with more visible certification evidence may be preferable.

3. If the organization does not sell through major retailers or participate in badge programs

   • Novi's differentiated value is oriented toward retailer feeds, badges, and verification workflows; direct-to-consumer-only or niche-distribution companies may not realize the same value.

4. If the procurement policy requires abundant independent third-party reviews before purchase

   • Public third-party product reviews for Novi Connect (the CPG/AI commerce product) are limited. Organizations needing a large third-party review footprint should consider alternatives with more discoverable independent reviews.

5. If the organization requires standardized, auditable AI-optimization metrics

   • Vendor headline metrics for AI selection/recommendation are vendor-defined in available materials. Organizations that require audited measurement standards may find the ROI case harder to prove without additional vendor-provided methodology and third-party references.

Mainstream SaaS review platforms (G2/TrustRadius/Gartner Peer Insights) appear to have limited or ambiguous coverage for "Novi Connect" as a CPG data/AI commerce product. A search returned results for unrelated products with similar names (naming collisions), and no clearly accessible Gartner Peer Insights or TrustRadius product profile for Novi Connect was located in the research performed.

The publicly accessible signals that were available include:

• Employee reviews on platforms such as Indeed and Glassdoor
• Vendor-published press quotes and testimonials
• Some social posts and forum entries that appear to be reposts of PR rather than independent user reviews

• A vendor-published testimonial from Lisa Curtis (Founder & CEO, Kuli Kuli Foods) describes Novi's AEO insights using the phrase "humbling and transformative." This is presented by the vendor as a customer quote and should be treated as vendor-provided marketing testimony rather than an independent review.
• Vendor press releases and case studies contain partner and stakeholder quotes praising Novi's role in transparency and meeting retailer standards; these are vendor-distributed statements.

Novi publishes a case study that reports a substantial increase in what the vendor terms "AI selection" for a beauty brand over a short period.

Critical evaluation:

• The metric labeled "AI selection" is vendor-defined. Buyers should clarify how the metric is defined (impressions, inclusion in AI responses, rank position, etc.), which AI models or retailer agents were tested, sampling methods, prompts used, baseline periods, and whether the measurement is reproducible and auditable.
• The case study appears to be vendor-produced and does not include independent validation in the publicly available excerpt.

Novi Connect ("Novi") is a product-data infrastructure and optimization platform for CPG brands and retailers. Public materials describe two related capabilities:

1. Data verification and distribution: collecting, verifying, and distributing product metadata, certifications, claims, and badges across retailer programs and other destinations that Novi identifies as high-authority sources used by AI shopping systems. Novi's marketing materials state that it provides direct data feeds to major retailers/marketplaces and operates a product data network.
2. AI shopping optimization: tooling intended to improve how AI systems interpret SKU-level product data so products may be more likely to be selected and recommended in AI-assisted shopping experiences (a concept Novi refers to in public materials using the term "agentic search").

On the website, the two flagship solutions are presented as product offerings:

• AI Shopping Optimizer (feed content and structure optimization aimed at AI selection/recommendation)
• Product Authority Builder (product data verification and distribution via Novi's network/direct feeds)

Important framing: Novi's public materials show an evolution of positioning over time. Earlier press (early 2020s) emphasized a B2B marketplace for sustainable/transparent ingredient, fragrance, and packaging sourcing. More recent materials (mid‑2020s) emphasize AI-assisted commerce and verified product data distribution. The underlying asset described consistently across materials is structured product data combined with verification metadata.

• Primary target: CPG brands (evidence is strongest for beauty/personal care historically; later materials indicate a broader CPG focus).
• Secondary target: Retailers/marketplaces that run badge programs and verification workflows (for example, retailer sustainability or "conscious" initiatives).
• Positioning: Novi frames itself as focused on product-level verification and data distribution to influence selection/recommendation, rather than brand-level visibility or mention-tracking.