By Industry

FMCG

Understand consumer behavior across channels with deterministic precision. From shelf intelligence to campaign optimization - Sentient OS delivers causality-based insights that transform FMCG decision-making.

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The Challenge

What We Solve

The 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. Shelf placement and assortment decisions lack causal modeling. The result: ad waste, misaligned products, and missed opportunities.

Dark data from each channel - loyalty cards, e-commerce baskets, D2C signups, retail scans - rarely feeds a unified model. Without vector-space representation and causal analysis, 'Males 30-40' remains the default segment and last-click gets the credit. The Logic Engine that should connect spend to outcomes and shelf position to conversion simply doesn't exist in most stacks.

Shelf and promo decisions are made on gut and rules. Sentient OS replaces that with a decision layer powered by behavioral archetypes and causal modeling.

The Sentient Solution

How We Address It

Sentient OS transforms this challenge into deterministic outcomes.

Sentient OS unifies FMCG intelligence across channels. Behavioral archetype analysis reveals true consumer segments - 'The Skeptical Innovators' not 'Males 30-40'. Causal modeling connects campaign spend to outcomes. Shelf intelligence and assortment optimization use vector-space demand modeling. Deterministic budget allocation based on intent scoring eliminates ad waste. Your CDP, BI, and campaign data activate into a single decision layer.

The 5-Layer Architecture ingests CDP, BI, retail, and campaign feeds; the Translator builds unified persona and behavioral vectors. The Psychographic Layer and Pattern Recognition layer maintain archetypes and demand patterns across channels. Conversion Modeling and Temporal Resonance drive campaign timing and budget allocation; Market Fit and Performance Forecasting support assortment and revenue planning.

One decision layer means shelf, campaign, price, and promo are optimized together - not in silos. Deterministic execution at the decision layer turns dark data into prescriptive actions.

Capabilities

Key Features

The capabilities that power this solution.

Cross-Channel Consumer Modeling

Unified behavioral archetypes across retail, e-commerce, and D2C via the Psychographic Layer and vector-space clustering. One truth, all channels - the Logic Engine reasons over a single representation of demand and intent, not per-channel dashboards.

Shelf Intelligence

Demand modeling for assortment and placement with causal links between shelf position, planogram, and conversion. Pattern Recognition and Market Fit modules surface which SKUs and placements resonate with which archetypes so shelf decisions are prescriptive.

Campaign Optimization

Deterministic budget allocation based on intent scoring and multi-factor conversion modeling. Conversion Modeling and Temporal Resonance drive channel mix, creative timing, and golden hours - beyond last-click attribution.

Price & Promo Intelligence

Price elasticity and promotional resonance modeled causally in the Logic Engine. Optimal timing and depth from Temporal Resonance and Performance Forecasting; the decision layer outputs promo calendars and price actions.

Market Fit for Portfolio

Market Fit module delivers price-tier positioning, purchasing-power fit, and competitive benchmarking across the portfolio. Product and brand teams see which items fit which archetypes and channels for assortment and innovation decisions.

Performance Forecasting for Planning

8-week revenue and demand projections from Performance Forecasting support production and inventory planning. Causal modeling of market resonance replaces historical correlation so launch and seasonal plans are deterministic.

Data-in to Decision-out

How It Works

Three steps from raw signals to deterministic execution.

1

Unified ingestion & archetypal modeling

Sensor and Translator layers ingest CDP, BI, retail, and campaign data. Psychographic and Pattern Recognition layers build behavioral archetypes and demand vectors across channels. Dark data is activated into one vector-space representation.

2

Causal analysis & optimization

Logic Engine runs causal analysis on campaign drivers, shelf demand, and price elasticity. Conversion Modeling, Temporal Resonance, Market Fit, and Performance Forecasting feed the decision layer with optimal spend, timing, assortment, and promo actions.

3

Decision output

Decision layer outputs budget allocation, shelf recommendations, promo calendars, and price actions. Deterministic execution - planners and systems consume prescriptive recommendations, not retrospective reports.

Concrete Scenarios

Use Cases

Real-world applications and outcomes.

Portfolio launch and assortment by channel

Behavioral archetypes and Market Fit identify which products and price tiers fit which channels and segments. Shelf and e-commerce assortment are aligned with causal demand; launch distortion and misallocation drop.

Campaign and promo calendar optimization

Intent-based allocation and Temporal Resonance optimize channel mix and timing. Multi-factor conversion modeling attributes true drivers; ad waste falls and ROI improves versus last-click and demographic targeting.

Shelf reset and planogram optimization

Shelf intelligence and causal demand modeling drive placement and facings. Assortment decisions are grounded in which archetypes buy what and where; conversion and basket size improve.

Impact

Key Metrics

The measurable outcomes this solution enables.

Archetype precision

Behavioral vs. demographic segmentation

Ad waste reduction

Intent-based allocation

Channel unification

Single decision layer

Shelf-to-conversion causality

Causal modeling vs. rules

Forecast horizon

8-week causal projection

Command Center

Related Modules

Explore the intelligence modules that power this solution.

Conversion ModelingMarket FitTemporal Resonance

Discover How Sentient OS Solves This

Book a live deep-dive and see how this solution transforms decision-making for your organization.

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