For SMB and mid-market consumer brands - food and beverage, personal care, household, pet, beauty, supplements - the AI conversation is dominated by enterprise vendor pitches built for Procter & Gamble. We translate that into what actually moves the needle for a $20M to $500M brand: better demand planning, smarter trade-spend decisions, retail-execution insight, and content production at the volume Amazon and DTC require.
Schedule a Discovery Call arrow_forwardMost AI for CPG was designed for global brands with their own data science teams, Nielsen and IRI subscriptions, and SAP-class infrastructure. SMB and mid-market brands try to apply the same playbook and hit the same walls:
The way out is not bigger investment. It's smaller, sharper investment in the two or three places where AI actually compounds for a brand of your size.
SKU-level forecast modeling that catches seasonality, promotion lift, and channel mix. Cuts both stock-outs and overstock - the two most expensive errors a brand makes.
Even without scan data, AI on shipment + POS sample data improves promo ROI. We help mid-market brands stop subsidizing the same retailer's discount addiction.
Image AI on rep-captured shelf photos. Out-of-stock detection, share-of-shelf, planogram compliance - without paying for full image-recognition platforms designed for global brands.
Generative AI for SKU pages, A+ content, brand store updates, and ad creative variants. Brand voice protected, throughput multiplied.
AI-assisted advertising, search-term harvesting, and listing optimization. Often the fastest payback channel for a CPG brand using AI.
Reviews, social, support tickets, and survey verbatims mined for product, packaging, and innovation insight at a tenth of traditional research cost.
Map your channel mix (DTC, Amazon, retail, distributor, foodservice), the data you already have, and the data you're paying for but not using. We almost always find at least one duplicate subscription.
Amazon-heavy brands win first with content and search AI. Retail-heavy brands win first with demand planning and trade promo. We start where your channel mix says to start.
SMB-priced tools that actually fit the use case. Salsify, Akeneo, Stackline, Pacvue, NielsenIQ Discover - we evaluate on cost-to-value, not on the demo.
Defined success metrics tied to gross profit, not vanity throughput. If a content AI cuts cost per asset by 70% but conversion drops, that's a fail and we say so.
AI outputs need to land in S&OP meetings, joint business plans with retailers, and weekly Amazon ops reviews. Otherwise the model runs and nobody looks at it.
Schedule a discovery call. We'll review your channel mix, your data, and your current AI commitments and prioritize what to do first.
Schedule a Discovery Call