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DeepQ AI for CPG

Solve at the cadence your market actually moves at.

Promo decisions before the cycle ends. Distribution gaps spotted while they're still fixable. Brand investments backed by analysis, not last quarter's spreadsheet.

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Get to the questions the market keeps moving past

Promo ROI, distribution gaps, channel mix, demand sensing — the analyses that actually shape sell-out. Done in days, not in cycles that close before the answer arrives.

Defensible by design, every time

Every analysis is traceable — methodology, data lineage, decisions. When sales, finance, or trade marketing question a recommendation, the reasoning is right there.

Every market learning, institutionalized

What worked across markets, channels, and seasons stays in the system. Brand and category teams build on each other instead of relearning what someone else already figured out.

Total visibility across markets and brands

As your category and geographic footprint grows, visibility holds. Every analysis in motion, every model live, every dollar of trade investment tracked — visible across the business.

From question to live solution — at every stage you work.

STRATEGY · OPPORTUNITY SPACELive
BIRD'S EYE → OPPORTUNITY SPACE → PRIORITY QUEUEStep 3 of 3
Promo lift gap by retailer — WalmartHigh
+$8M trade ROI
Distribution white space — South regionHigh
1,240 stores
Pack-price architecture — beveragesHigh
+2.1pt margin
Channel mix shift — convenienceHigh
+$11M revenue
Demand sensing — DTC subscriptionMed
Forecast +14%
Trade spend optimization — Q3Med
−$4.2M waste
Innovation pipeline screen — beautyMed
6 candidates
Shopper segment lift — householdLow
Mix shift
SOLUTION · DESIGN + BUILDLive
SOLUTION DESIGN + SOLUTION BUILDStep 4 of 5
ChecklistPromo liftBacktestCode
Feature importance · holdout MAPE 7.1%
Promo depth × duration
0.83
Base rate × seasonality
0.71
Distribution × ACV
0.62
Competitive promo overlap
0.47
Shopper mix × loyalty
0.33
FINAL SOLUTION SUMMARYLive
FINAL SOLUTION SUMMARY · COMMERCIAL-READYDefensible
Trade ROI uplift
+22%
On rebalanced spend
Net revenue
+$31M
Annualized
Distribution gain
+4.2pt ACV
Priority retailers
Forecast accuracy
93.6%
Up from 87%
Methodology · data lineageTraceable · 44 steps
DEPLOYMENT · LIVE SOLUTIONLive
DEPLOYMENT VERSIONS · LIVE SOLUTION4 environments
TPM (T-Pro)
Live
Trade plan v8 · Q3
JBP workbench — Walmart
Live
Joint forecast push
RGM hub — pricing
Canary 10%
Pack-price guidance
Demand planning (SAP IBP)
Staging
Sense-and-respond v2
OBSERVATORY · MONITORINGLive
OBSERVATORY · MARKET VIEWLast sync · 60s ago
Promo elasticity
Holding · NA
MAPE 7.1% · stable
Promo elasticity
Drift · LATAM
Lift coef +0.7σ
Distribution gain
+3.8pt ACV
YTD vs target
Value yield
$31.4M
Trade + revenue YTD
STRATEGY · OPPORTUNITY SPACELive
BIRD'S EYE → OPPORTUNITY SPACE → PRIORITY QUEUEStep 3 of 3
Promo lift gap by retailer — WalmartHigh
+$8M trade ROI
Distribution white space — South regionHigh
1,240 stores
Pack-price architecture — beveragesHigh
+2.1pt margin
Channel mix shift — convenienceHigh
+$11M revenue
Demand sensing — DTC subscriptionMed
Forecast +14%
Trade spend optimization — Q3Med
−$4.2M waste
Innovation pipeline screen — beautyMed
6 candidates
Shopper segment lift — householdLow
Mix shift

The system that makes it work. And turns your team into a problem-solving engine.

Inspector

Adaptive methodology with full transparency. Every step of every solution is visible, redirectable, and approvable. The trust spine that runs through every problem you solve.

Inspector · session 4083 of 5
Frame the promo question
DONE
Pull syndicated + shipment data
DONE
Design promo lift model
IN PROGRESS
Run scenario sweeps
PENDING
Stage for trade review
PENDING
auditableredirectableapprovable

Agents

Domain-specific agents executing at machine speed — directing sessions, designing strategies, handling data, building models, taking solutions to production. Built for real work, not just chat.

Agents · 5 activerealtime
Director
Sequencing the session
Strategist
Drafting brand × channel logic
Data
Joining Nielsen + shipments · 6.8M rows
Modeler
Tuning promo lift · v3
Deployer
Push to TPM · canary

Institutional Memory

Every problem solved, every decision made, every pattern discovered stays in the system. The work compounds — what you solve today makes tomorrow's solution faster, smarter, sharper.

Memory · 2,074 artifactscompounding
PATTERN
Promo lift precursor — beverages
15 reuses
DECISION
Pack-price reset · LATAM
cited 10×
SOLUTION
Distribution gap finder v3
live
PATTERN
Demand sense — DTC subs
8 reuses

Observatory

The 360° picture across your organization. Portfolio progress, problem universe, value yield, institutional memory — visible in one place, updated continuously.

Observatory · market viewupdated 14s ago
Models live
58
Solutions in production
27
Value yield (YTD)
$196M
Cycle time
4.4d

Inspiration Lab

Hundreds of pre-built solutions across industries and functions — explorable, runnable, ready to inspire your next session.

Inspiration Lab312 solutions
01
Promo lift decomposition
02
Distribution gap finder
03
Pack-price architecture
04
Channel mix optimizer
05
Demand sensing engine
06
Trade ROI analyzer

Enterprise-grade controls. Built in.

Encrypted. Access-controlled. Audit-logged. Choose shared cloud, dedicated cloud, or on-premises.

SOC 2ISO 27001GDPR

Get the next cycle's analyses running before the cycle ends.

Try DeepQ AI on your own, or book a working session to see one of your questions analyzed live.

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