Skip to main content

By Industry

FMCG

Understand what actually drives consumer behavior across channels - from shelf performance to campaign impact. Replace demographic assumptions with analysis grounded in how people actually behave.

Request Your Deep-DiveAll Solutions

The Challenge

What We Solve

The specific problem this solution addresses.

FMCG operates across a fragmented landscape: retail shelves, e-commerce, D2C, marketplaces, and emerging channels. Consumer behavior is complex - demographics alone fail to predict purchase intent. Campaign optimization relies on last-click attribution and demographic proxies.

Data from each channel - loyalty cards, e-commerce baskets, D2C, retail scans - rarely feeds a unified model. Without understanding the actual causes of purchase behavior, 'Males 30-40' stays the default segment and last-click gets the credit. Shelf and promo decisions are made on gut and rules.

The result: ad waste, misaligned products, and missed opportunities.

How Sentient Addresses It

The Approach

How Sentient OS turns this challenge into clear, actionable outcomes.

Sentient OS unifies FMCG intelligence across channels. Behavioral analysis identifies true consumer segments - not 'Males 30-40' but clusters that actually predict what people buy. Understanding causes rather than correlations connects campaign spend to real outcomes.

Shelf intelligence and assortment optimization are grounded in how demand actually works. Budget is allocated based on intent, not impressions. Your CDP, BI, and campaign data connect into one decision layer - so shelf, campaign, price, and promo are optimized together, not in silos.

Capabilities

What It Does

The specific capabilities that power this solution.

Cross-Channel Consumer Modeling

One unified view of consumer behavior across retail, e-commerce, and D2C. Behavioral patterns across all channels feed one model so decisions are grounded in the full picture, not per-channel averages.

Shelf Intelligence

Demand modeling for assortment and placement - understanding which SKUs and positions drive conversion for which customer segments, so shelf decisions are prescriptive, not rule-based.

Campaign Optimization

Budget allocation based on what actually drives intent - not impressions. Conversion Modeling and Temporal Resonance drive channel mix, creative timing, and posting windows beyond last-click attribution.

Price and Promo Intelligence

Price sensitivity and promotional resonance modeled from actual behavior. Optimal timing and depth from Temporal Resonance and Performance Forecasting; promo calendars and price actions delivered as clear recommendations.

Market Fit for Portfolio

Market Fit delivers price-tier positioning, purchasing power fit, and competitive benchmarking across the portfolio - so product and brand teams know which items fit which segments and channels.

Performance Forecasting for Planning

8-week revenue and demand projections support production and inventory planning. Forecasting based on how market resonance actually develops over time - not just historical averages.

From Data to Decision

How It Works

Three steps from raw signals to action.

1

Unify your channel data

CDP, BI, retail, and campaign data connect directly. Consumer behavior is modeled across all channels from one unified view.

2

Find the actual drivers

The system identifies what actually drives campaign performance, shelf demand, and price elasticity. Conversion Modeling, Temporal Resonance, and Market Fit produce optimal spend, timing, assortment, and promo recommendations.

3

Act on recommendations

Budget allocation, shelf recommendations, promo calendars, and price actions are delivered as clear, actionable recommendations - not retrospective reports.

Real Scenarios

Use Cases

Real-world applications and outcomes.

Portfolio launch and assortment by channel

Behavioral analysis and Market Fit identify which products and price tiers fit which channels and segments. Shelf and e-commerce assortment align with actual demand; launch distortion drops.

Campaign and promo calendar optimization

Intent-based allocation and Temporal Resonance optimize channel mix and timing. Attribution identifies the true drivers; ad waste falls and ROI improves.

Shelf reset and planogram optimization

Shelf intelligence drives placement and facings. Assortment decisions are grounded in which customer types buy what and where; conversion and basket size improve.

Impact

Key Metrics

The measurable outcomes this solution enables.

Segmentation precision

Behavioral vs. demographic

Ad waste reduction

Intent-based allocation

Channel unification

Single decision layer

Shelf-to-conversion

Causal analysis vs. rules

Forecast horizon

8-week projection

Command Center

Related Modules

Explore the intelligence modules that power this solution.

Conversion ModelingMarket FitTemporal Resonance

See How Sentient Addresses This

Book a live deep-dive and see exactly how this solution works for your organization.

Request Your Deep-DiveAll Solutions