Brand and Commerce

Demand and pricing intelligence for consumer brands.

Track demand signal, pricing posture, and competitor moves across the open consumer web. Built for D2C, retail, and CPG teams that need answers before the next planning meeting.

Start free with Brand and CommerceSee pricing

How it works

The exact thing your team is trying to call.

Forward 14-day demand index per SKU and category, plus pricing pressure score that anticipates competitor markdowns.

  • SKU-level demand projection across major retailers
  • Competitor pricing watch with markdown anticipation
  • Share-of-voice tracking across owned and earned channels
  • Review velocity and sentiment as a leading indicator
  • Category-level expansion and contraction signals

Signal sources

What feeds the brand and commerce model.

  • 01Amazon and Flipkart marketplace scrapes
  • 02Google Shopping and Trends
  • 03Reddit category-specific subreddits
  • 04Instagram and TikTok creator mentions
  • 05News RSS retail and CPG coverage
  • 06Public review platforms
Sample entities tracked:DTC Skincare BrandPremium Audio SKUQSR Menu Launch

Use cases

What teams actually do with Brand and Commerce.

  • Greenlight reviews for brand and commerce

    Run scoring on a portfolio of candidates and surface the ones whose brand and commerce signals diverge most from their internal narrative.

  • Continuous monitoring

    Subscribe via webhook and receive a payload only when the score crosses a threshold you defined. No dashboards required.

  • Cross-vertical analysis

    Pull the same entity into other verticals to see whether the signals agree or disagree. Disagreement is often where the alpha is.

  • Backtesting before commitment

    Score the last 24 months of decisions against the model and compare hit rates. The calibration_bucket field tells you how much to trust the model in the bands you care about.

API

Calibrated, explainable, ready for production.

Every prediction ships with a confidence interval, the top feature drivers explaining the score, and the five nearest historical analogs the model leaned on.

Available via REST and a typed TypeScript SDK.

See full API reference
GET /v1/predictions/brand-commerce/{entityId}
{
  "entityId": "sku_ax7q9",
  "demandIndex14d": 118.2,
  "pricingPressure": 0.42,
  "ci95": [
    108.6,
    128.4
  ],
  "drivers": [
    {
      "feature": "review_velocity_7d",
      "contribution": 0.09
    },
    {
      "feature": "competitor_discount_depth",
      "contribution": 0.07
    },
    {
      "feature": "search_interest_delta",
      "contribution": 0.05
    },
    {
      "feature": "creator_mention_volume",
      "contribution": 0.04
    },
    {
      "feature": "stockout_risk",
      "contribution": -0.03
    }
  ],
  "analogs": [
    "sku_b1q8a",
    "sku_4e2f1",
    "sku_99c0d",
    "sku_7a3b8",
    "sku_2d1e0"
  ]
}

Compared to

How Brand and Commerce differs from what is already out there.

VendorHow SignalGrid is different
Helium 10Cross-channel demand and pricing pressure, not just Amazon keyword tools.
SimilarwebSKU-level forecasts, not category-level traffic estimates.
DataWeaveDemand forecasting on top of competitive pricing, not pricing alone.

Try Brand and Commerce on your own entities.

Start free during the public beta. We will pre-select brand and commerce for you on signup.

Start freeTalk to us

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