The Insights-to-Action AI Platform for Retail & CPG
The Insights-to-Action AI Platform for Retail & CPG
The Insights-to-Action AI Platform for Retail & CPG
RETAiLABS helps Retail and CPG companies turn data and AI insights into smarter decisions, stronger execution, and measurable business impact.
RETAiLABS helps Retail and CPG companies turn data and AI insights into smarter decisions, stronger execution, and measurable business impact.
RETAiLABS helps Retail and CPG companies turn data and AI insights into smarter decisions, stronger execution, and measurable business impact.
Deeper Insights
→
Smarter Execution
→
Faster Adoption
→
Stronger Outcomes
→
RETAiLABS helps Retail and CPG companies make the right decisions, execute them effectively, and drive faster adoption across their organizations using AI.
RETAiLABS helps Retail and CPG companies make the right decisions, execute them effectively, and drive faster adoption across their organizations using AI.
RETAiLABS helps Retail and CPG companies make the right decisions, execute them effectively, and drive faster adoption across their organizations using AI.
From merchandising and assortment to pricing, inventory, store operations, campaigns, and trade funding—RETAiLABS turns insights into measurable business results.
From merchandising and assortment to pricing, inventory, store operations, campaigns, and trade funding—RETAiLABS turns insights into measurable business results.
From merchandising and assortment to pricing, inventory, store operations, campaigns, and trade funding—RETAiLABS turns insights into measurable business results.
We connect:
We connect:
Your technology to your people
Your data to your processes
Your capabilities to your outcomes
Your technology to your people
Your data to your processes
Your capabilities to your outcomes
Built by Those Who Have Lived the Problem
Built by Those Who Have Lived the Problem
Built by Those Who Have Lived the Problem
400+
400+
Years of Experience
0
0
Countries Across the Planet
0B+
0B+
Billion in Revenue Managed
RETAiLABS combines decades of global operator experience with the power of an enterprise-grade AI platform.
RETAiLABS combines decades of global operator experience with the power of an enterprise-grade AI platform.
RETAiLABS combines decades of global operator experience with the power of an enterprise-grade AI platform.
Retail Has AI.
But Execution Is Still Manual.
The journey from decision to execution remains broken across Retail & CPG.
80% of enterprise decisions are still made manually.
Broken processes
Siloed data
Too many Excel sheets
Disconnected systems
Retail Has AI.
But Execution Is Still Manual.
The journey from decision to execution remains broken across Retail & CPG.
80% of enterprise decisions are still made manually.
Broken processes
Siloed data
Too many Excel sheets
Disconnected systems
Retail Has AI.
But Execution Is Still Manual.
The journey from decision to execution remains broken across Retail & CPG.
80% of enterprise decisions are still made manually.
Broken processes
Siloed data
Too many Excel sheets
Disconnected systems
Where It Impacts You Most
Where It Impacts You Most
Where It Impacts You Most
RETAiLABS addresses real challenges across your core operations:
RETAiLABS addresses real challenges across your core operations:
RETAiLABS addresses real challenges across your core operations:
Merchandising & Assortment
Missed demand and lost sales
Merchandising & Assortment
Missed demand and lost sales
Trade Funding & Promotions
Inefficient spend and low ROI
Trade Funding & Promotions
Inefficient spend and low ROI
Store Operations
Inconsistent execution across locations
Store Operations
Inconsistent execution across locations
Inventory & Supply Chain
Stockouts and excess inventory
Inventory & Supply Chain
Stockouts and excess inventory
Revenue & Pricing
Margin leakage and missed opportunities
Revenue & Pricing
Margin leakage and missed opportunities
Campaign Management
Disconnected planning and execution
Campaign Management
Disconnected planning and execution
Teams & Workflows
Teams & Workflows
Teams & Workflows
Existing Systems
(ERP, POS, CRM)
Existing Systems
(ERP, POS, CRM)
Existing Systems
(ERP, POS, CRM)
The Missing Layer in Retail Technology
The Missing Layer in Retail Technology
The Missing Layer in Retail Technology
Retail has powerful tools but lacks a unified layer that connects insights to execution.
Retail has powerful tools but lacks a unified layer that connects insights to execution.
Retail has powerful tools but lacks a unified layer that connects insights to execution.
What You Have
What You Have
What You Have
ERP, POS, CRM, and Planning Systems
Forecasting and Analytics Tools
Loyalty and Customer Data
AI and Point Solutions
What
What
What
Enables
Enables
Enables
Connected decision-making
Coordinated execution across teams
Faster adoption of AI
Measurable business outcomes
Meet ARI
Meet ARI
Meet ARI
The Brain Behind Enterprise Orchestration
The Brain Behind Enterprise Orchestration
The Brain Behind Enterprise Orchestration
Augmented Retail Intelligence that turns signals into synchronized execution.
Augmented Retail Intelligence that turns signals into synchronized execution.
Augmented Retail Intelligence that turns signals into synchronized execution.
↓ 20–35%
Forecast MAPE Reduction
↓ 20–35%
Forecast MAPE Reduction
↓ 20–35%
Forecast MAPE Reduction
< 4 Hours
Signal → Action Cycle
< 4 Hours
Signal → Action Cycle
< 4 Hours
Signal → Action Cycle
+1–2 pts
In-Stock Improvement
+1–2 pts
In-Stock Improvement
+1–2 pts
In-Stock Improvement
+50–150 bps
Margin Lift
+50–150 bps
Margin Lift
+50–150 bps
Margin Lift
50–70%
Manual Planning Reduction
50–70%
Manual Planning Reduction
50–70%
Manual Planning Reduction
Enterprise-Wide
Cross-Functional Alignment
Enterprise-Wide
Cross-Functional Alignment
Enterprise-Wide
Cross-Functional Alignment
From Signal to Execution
From Signal to Execution
From Signal to Execution
Three simple steps. One coordinated system.
Three simple steps. One coordinated system.
Three simple steps. One coordinated system.
01
Context
We build a shared knowledge layer by combining your existing systems — ERP, POS, Planning, CRM, and Supply Chain. All your data comes together in one clear, connected view.
01
Context
We build a shared knowledge layer by combining your existing systems — ERP, POS, Planning, CRM, and Supply Chain. All your data comes together in one clear, connected view.
02
Orchestration
The ARI engine coordinates and synchronizes teams across merchandising, pricing, supply chain, marketing, and stores. Everyone moves together, not in silos.
02
Orchestration
The ARI engine coordinates and synchronizes teams across merchandising, pricing, supply chain, marketing, and stores. Everyone moves together, not in silos.
03
Adoption
We embed these actions into daily workflows and store routines. Execution becomes part of how your teams already work.
03
Adoption
We embed these actions into daily workflows and store routines. Execution becomes part of how your teams already work.
In Action
In Action
Real workflows. Real decisions. Real outcomes.
Real workflows. Real decisions. Real outcomes.
In Action
Real workflows. Real decisions. Real outcomes.
Merchandising, Assortment & OTB Planning
Goal
Improve sell-through and margin.
Signals
POS • Demand trends • Inventory • Local preferences
Insights
Demand gaps • Slow movers • Margin risk
Adoption
AI embedded in merchant workflow
Decisions
Optimize assortment • Reallocate OTB
Execution
Update plans • Trigger replenishment
Impact
10–20%
↓ Stockouts
3–7%
↑ Sell-through
+50–150 bps
margin lift
Sales & Revenue Growth (CPG)
Goal
Improve trade ROI and revenue growth.
Signals
Sell-through • Trade spend • Elasticity • Retailer performance
Insights
Promo ROI • Price sensitivity • Funding inefficiencies
Adoption
Sales teams act inside daily tools
Decisions
Reallocate trade spend • Optimize pricing
Execution
Align retail plans • Adjust promo calendars
Impact
5–15%
↑ Trade ROI
2–5%
↑ Revenue
Reduced
funding leakage
Campaign Orchestration
Goal
Drive higher conversion across channels.
Signals
Customer data • Loyalty • Market trends
Insights
Audience gaps • Channel performance
Adoption
Real-time performance feedback
Decisions
Budget allocation • Message optimization
Execution
Activate across digital, store, media
Impact
10–25%
↑ Conversion
ROI
↑ Campaign
Faster
campaign cycles
Store Playbook: Winning Every Store
Goal
Execute enterprise strategy locally.
Signals
Local demand • Competitor pricing • Footfall • Inventory
Insights
Store-level gaps • Execution variance
Adoption
Managers act via guided AI interface
Decisions
Localized pricing • Assortment • Staffing
Execution
Deploy store-specific playbooks
Impact
2–4%
↑ Traffic
3–6%
↑ Basket size
Consistent
execution across stores
Merchandising, Assortment & OTB Planning
Goal
Improve sell-through and margin.
Signals
POS • Demand trends • Inventory • Local preferences
Insights
Demand gaps • Slow movers • Margin risk
Adoption
AI embedded in merchant workflow
Decisions
Optimize assortment • Reallocate OTB
Execution
Update plans • Trigger replenishment
Impact
10–20%
↓ Stockouts
3–7%
↑ Sell-through
+50–150 bps
margin lift
Sales & Revenue Growth (CPG)
Goal
Improve trade ROI and revenue growth.
Signals
Sell-through • Trade spend • Elasticity • Retailer performance
Insights
Promo ROI • Price sensitivity • Funding inefficiencies
Adoption
Sales teams act inside daily tools
Decisions
Reallocate trade spend • Optimize pricing
Execution
Align retail plans • Adjust promo calendars
Impact
5–15%
↑ Trade ROI
2–5%
↑ Revenue
Reduced
funding leakage
Campaign Orchestration
Goal
Drive higher conversion across channels.
Signals
Customer data • Loyalty • Market trends
Insights
Audience gaps • Channel performance
Adoption
Real-time performance feedback
Decisions
Budget allocation • Message optimization
Execution
Activate across digital, store, media
Impact
10–25%
↑ Conversion
ROI
↑ Campaign
Faster
campaign cycles
Store Playbook: Winning Every Store
Goal
Execute enterprise strategy locally.
Signals
Local demand • Competitor pricing • Footfall • Inventory
Insights
Store-level gaps • Execution variance
Adoption
Managers act via guided AI interface
Decisions
Localized pricing • Assortment • Staffing
Execution
Deploy store-specific playbooks
Impact
2–4%
↑ Traffic
3–6%
↑ Basket size
Consistent
execution across stores
Merchandising, Assortment & OTB Planning
Goal
Improve sell-through and margin.
Signals
POS • Demand trends • Inventory • Local preferences
Insights
Demand gaps • Slow movers • Margin risk
Adoption
AI embedded in merchant workflow
Decisions
Optimize assortment • Reallocate OTB
Execution
Update plans • Trigger replenishment
Impact
10–20%
↓ Stockouts
3–7%
↑ Sell-through
+50–150 bps
margin lift
Sales & Revenue Growth (CPG)
Goal
Improve trade ROI and revenue growth.
Signals
Sell-through • Trade spend • Elasticity • Retailer performance
Insights
Promo ROI • Price sensitivity • Funding inefficiencies
Adoption
Sales teams act inside daily tools
Decisions
Reallocate trade spend • Optimize pricing
Execution
Align retail plans • Adjust promo calendars
Impact
5–15%
↑ Trade ROI
2–5%
↑ Revenue
Reduced
funding leakage
Campaign Orchestration
Goal
Drive higher conversion across channels.
Signals
Customer data • Loyalty • Market trends
Insights
Audience gaps • Channel performance
Adoption
Real-time performance feedback
Decisions
Budget allocation • Message optimization
Execution
Activate across digital, store, media
Impact
10–25%
↑ Conversion
ROI
↑ Campaign
Faster
campaign cycles
Store Playbook: Winning Every Store
Goal
Execute enterprise strategy locally.
Signals
Local demand • Competitor pricing • Footfall • Inventory
Insights
Store-level gaps • Execution variance
Adoption
Managers act via guided AI interface
Decisions
Localized pricing • Assortment • Staffing
Execution
Deploy store-specific playbooks
Impact
2–4%
↑ Traffic
3–6%
↑ Basket size
Consistent
execution across stores
Merchandising, Assortment & OTB Planning
Goal
Improve sell-through and margin.
Signals
POS • Demand trends • Inventory • Local preferences
Insights
Demand gaps • Slow movers • Margin risk
Adoption
AI embedded in merchant workflow
Decisions
Optimize assortment • Reallocate OTB
Execution
Update plans • Trigger replenishment
Impact
10–20%
↓ Stockouts
3–7%
↑ Sell-through
+50–150 bps
margin lift
Sales & Revenue Growth (CPG)
Goal
Improve trade ROI and revenue growth.
Signals
Sell-through • Trade spend • Elasticity • Retailer performance
Insights
Promo ROI • Price sensitivity • Funding inefficiencies
Adoption
Sales teams act inside daily tools
Decisions
Reallocate trade spend • Optimize pricing
Execution
Align retail plans • Adjust promo calendars
Impact
5–15%
↑ Trade ROI
2–5%
↑ Revenue
Reduced
funding leakage
Campaign Orchestration
Goal
Drive higher conversion across channels.
Signals
Customer data • Loyalty • Market trends
Insights
Audience gaps • Channel performance
Adoption
Real-time performance feedback
Decisions
Budget allocation • Message optimization
Execution
Activate across digital, store, media
Impact
10–25%
↑ Conversion
ROI
↑ Campaign
Faster
campaign cycles
Store Playbook: Winning Every Store
Goal
Execute enterprise strategy locally.
Signals
Local demand • Competitor pricing • Footfall • Inventory
Insights
Store-level gaps • Execution variance
Adoption
Managers act via guided AI interface
Decisions
Localized pricing • Assortment • Staffing
Execution
Deploy store-specific playbooks
Impact
2–4%
↑ Traffic
3–6%
↑ Basket size
Consistent
execution across stores
Merchandising, Assortment & OTB Planning
Goal
Improve sell-through and margin.
Signals
POS • Demand trends • Inventory • Local preferences
Insights
Demand gaps • Slow movers • Margin risk
Adoption
AI embedded in merchant workflow
Decisions
Optimize assortment • Reallocate OTB
Execution
Update plans • Trigger replenishment
Impact
10–20%
↓ Stockouts
3–7%
↑ Sell-through
+50–150 bps
margin lift
Sales & Revenue Growth (CPG)
Goal
Improve trade ROI and revenue growth.
Signals
Sell-through • Trade spend • Elasticity • Retailer performance
Insights
Promo ROI • Price sensitivity • Funding inefficiencies
Adoption
Sales teams act inside daily tools
Decisions
Reallocate trade spend • Optimize pricing
Execution
Align retail plans • Adjust promo calendars
Impact
5–15%
↑ Trade ROI
2–5%
↑ Revenue
Reduced
funding leakage
Campaign Orchestration
Goal
Drive higher conversion across channels.
Signals
Customer data • Loyalty • Market trends
Insights
Audience gaps • Channel performance
Adoption
Real-time performance feedback
Decisions
Budget allocation • Message optimization
Execution
Activate across digital, store, media
Impact
10–25%
↑ Conversion
ROI
↑ Campaign
Faster
campaign cycles
Store Playbook: Winning Every Store
Goal
Execute enterprise strategy locally.
Signals
Local demand • Competitor pricing • Footfall • Inventory
Insights
Store-level gaps • Execution variance
Adoption
Managers act via guided AI interface
Decisions
Localized pricing • Assortment • Staffing
Execution
Deploy store-specific playbooks
Impact
2–4%
↑ Traffic
3–6%
↑ Basket size
Consistent
execution across stores
Merchandising, Assortment & OTB Planning
Goal
Improve sell-through and margin.
Signals
POS • Demand trends • Inventory • Local preferences
Insights
Demand gaps • Slow movers • Margin risk
Adoption
AI embedded in merchant workflow
Decisions
Optimize assortment • Reallocate OTB
Execution
Update plans • Trigger replenishment
Impact
10–20%
↓ Stockouts
3–7%
↑ Sell-through
+50–150 bps
margin lift
Sales & Revenue Growth (CPG)
Goal
Improve trade ROI and revenue growth.
Signals
Sell-through • Trade spend • Elasticity • Retailer performance
Insights
Promo ROI • Price sensitivity • Funding inefficiencies
Adoption
Sales teams act inside daily tools
Decisions
Reallocate trade spend • Optimize pricing
Execution
Align retail plans • Adjust promo calendars
Impact
5–15%
↑ Trade ROI
2–5%
↑ Revenue
Reduced
funding leakage
Campaign Orchestration
Goal
Drive higher conversion across channels.
Signals
Customer data • Loyalty • Market trends
Insights
Audience gaps • Channel performance
Adoption
Real-time performance feedback
Decisions
Budget allocation • Message optimization
Execution
Activate across digital, store, media
Impact
10–25%
↑ Conversion
ROI
↑ Campaign
Faster
campaign cycles
Store Playbook: Winning Every Store
Goal
Execute enterprise strategy locally.
Signals
Local demand • Competitor pricing • Footfall • Inventory
Insights
Store-level gaps • Execution variance
Adoption
Managers act via guided AI interface
Decisions
Localized pricing • Assortment • Staffing
Execution
Deploy store-specific playbooks
Impact
2–4%
↑ Traffic
3–6%
↑ Basket size
Consistent
execution across stores
Merchandising, Assortment & OTB Planning
Goal
Improve sell-through and margin.
Signals
POS • Demand trends • Inventory • Local preferences
Insights
Demand gaps • Slow movers • Margin risk
Adoption
AI embedded in merchant workflow
Decisions
Optimize assortment • Reallocate OTB
Execution
Update plans • Trigger replenishment
Impact
10–20%
↓ Stockouts
3–7%
↑ Sell-through
+50–150 bps
margin lift
Sales & Revenue Growth (CPG)
Goal
Improve trade ROI and revenue growth.
Signals
Sell-through • Trade spend • Elasticity • Retailer performance
Insights
Promo ROI • Price sensitivity • Funding inefficiencies
Adoption
Sales teams act inside daily tools
Decisions
Reallocate trade spend • Optimize pricing
Execution
Align retail plans • Adjust promo calendars
Impact
5–15%
↑ Trade ROI
2–5%
↑ Revenue
Reduced
funding leakage
Campaign Orchestration
Goal
Drive higher conversion across channels.
Signals
Customer data • Loyalty • Market trends
Insights
Audience gaps • Channel performance
Adoption
Real-time performance feedback
Decisions
Budget allocation • Message optimization
Execution
Activate across digital, store, media
Impact
10–25%
↑ Conversion
ROI
↑ Campaign
Faster
campaign cycles
Store Playbook: Winning Every Store
Goal
Execute enterprise strategy locally.
Signals
Local demand • Competitor pricing • Footfall • Inventory
Insights
Store-level gaps • Execution variance
Adoption
Managers act via guided AI interface
Decisions
Localized pricing • Assortment • Staffing
Execution
Deploy store-specific playbooks
Impact
2–4%
↑ Traffic
3–6%
↑ Basket size
Consistent
execution across stores
Merchandising, Assortment & OTB Planning
Goal
Improve sell-through and margin.
Signals
POS • Demand trends • Inventory • Local preferences
Insights
Demand gaps • Slow movers • Margin risk
Adoption
AI embedded in merchant workflow
Decisions
Optimize assortment • Reallocate OTB
Execution
Update plans • Trigger replenishment
Impact
10–20%
↓ Stockouts
3–7%
↑ Sell-through
+50–150 bps
margin lift
Sales & Revenue Growth (CPG)
Goal
Improve trade ROI and revenue growth.
Signals
Sell-through • Trade spend • Elasticity • Retailer performance
Insights
Promo ROI • Price sensitivity • Funding inefficiencies
Adoption
Sales teams act inside daily tools
Decisions
Reallocate trade spend • Optimize pricing
Execution
Align retail plans • Adjust promo calendars
Impact
5–15%
↑ Trade ROI
2–5%
↑ Revenue
Reduced
funding leakage
Campaign Orchestration
Goal
Drive higher conversion across channels.
Signals
Customer data • Loyalty • Market trends
Insights
Audience gaps • Channel performance
Adoption
Real-time performance feedback
Decisions
Budget allocation • Message optimization
Execution
Activate across digital, store, media
Impact
10–25%
↑ Conversion
ROI
↑ Campaign
Faster
campaign cycles
Store Playbook: Winning Every Store
Goal
Execute enterprise strategy locally.
Signals
Local demand • Competitor pricing • Footfall • Inventory
Insights
Store-level gaps • Execution variance
Adoption
Managers act via guided AI interface
Decisions
Localized pricing • Assortment • Staffing
Execution
Deploy store-specific playbooks
Impact
2–4%
↑ Traffic
3–6%
↑ Basket size
Consistent
execution across stores
Merchandising, Assortment & OTB Planning
Goal
Improve sell-through and margin.
Signals
POS • Demand trends • Inventory • Local preferences
Insights
Demand gaps • Slow movers • Margin risk
Adoption
AI embedded in merchant workflow
Decisions
Optimize assortment • Reallocate OTB
Execution
Update plans • Trigger replenishment
Impact
10–20%
↓ Stockouts
3–7%
↑ Sell-through
+50–150 bps
margin lift
Sales & Revenue Growth (CPG)
Goal
Improve trade ROI and revenue growth.
Signals
Sell-through • Trade spend • Elasticity • Retailer performance
Insights
Promo ROI • Price sensitivity • Funding inefficiencies
Adoption
Sales teams act inside daily tools
Decisions
Reallocate trade spend • Optimize pricing
Execution
Align retail plans • Adjust promo calendars
Impact
5–15%
↑ Trade ROI
2–5%
↑ Revenue
Reduced
funding leakage
Campaign Orchestration
Goal
Drive higher conversion across channels.
Signals
Customer data • Loyalty • Market trends
Insights
Audience gaps • Channel performance
Adoption
Real-time performance feedback
Decisions
Budget allocation • Message optimization
Execution
Activate across digital, store, media
Impact
10–25%
↑ Conversion
ROI
↑ Campaign
Faster
campaign cycles
Store Playbook: Winning Every Store
Goal
Execute enterprise strategy locally.
Signals
Local demand • Competitor pricing • Footfall • Inventory
Insights
Store-level gaps • Execution variance
Adoption
Managers act via guided AI interface
Decisions
Localized pricing • Assortment • Staffing
Execution
Deploy store-specific playbooks
Impact
2–4%
↑ Traffic
3–6%
↑ Basket size
Consistent
execution across stores
Merchandising, Assortment & OTB Planning
Goal
Improve sell-through and margin.
Signals
POS • Demand trends • Inventory • Local preferences
Insights
Demand gaps • Slow movers • Margin risk
Adoption
AI embedded in merchant workflow
Decisions
Optimize assortment • Reallocate OTB
Execution
Update plans • Trigger replenishment
Impact
10–20%
↓ Stockouts
3–7%
↑ Sell-through
+50–150 bps
margin lift
Sales & Revenue Growth (CPG)
Goal
Improve trade ROI and revenue growth.
Signals
Sell-through • Trade spend • Elasticity • Retailer performance
Insights
Promo ROI • Price sensitivity • Funding inefficiencies
Adoption
Sales teams act inside daily tools
Decisions
Reallocate trade spend • Optimize pricing
Execution
Align retail plans • Adjust promo calendars
Impact
5–15%
↑ Trade ROI
2–5%
↑ Revenue
Reduced
funding leakage
Campaign Orchestration
Goal
Drive higher conversion across channels.
Signals
Customer data • Loyalty • Market trends
Insights
Audience gaps • Channel performance
Adoption
Real-time performance feedback
Decisions
Budget allocation • Message optimization
Execution
Activate across digital, store, media
Impact
10–25%
↑ Conversion
ROI
↑ Campaign
Faster
campaign cycles
Store Playbook: Winning Every Store
Goal
Execute enterprise strategy locally.
Signals
Local demand • Competitor pricing • Footfall • Inventory
Insights
Store-level gaps • Execution variance
Adoption
Managers act via guided AI interface
Decisions
Localized pricing • Assortment • Staffing
Execution
Deploy store-specific playbooks
Impact
2–4%
↑ Traffic
3–6%
↑ Basket size
Consistent
execution across stores
Merchandising, Assortment & OTB Planning
Goal
Improve sell-through and margin.
Signals
POS • Demand trends • Inventory • Local preferences
Insights
Demand gaps • Slow movers • Margin risk
Adoption
AI embedded in merchant workflow
Decisions
Optimize assortment • Reallocate OTB
Execution
Update plans • Trigger replenishment
Impact
10–20%
↓ Stockouts
3–7%
↑ Sell-through
+50–150 bps
margin lift
Sales & Revenue Growth (CPG)
Goal
Improve trade ROI and revenue growth.
Signals
Sell-through • Trade spend • Elasticity • Retailer performance
Insights
Promo ROI • Price sensitivity • Funding inefficiencies
Adoption
Sales teams act inside daily tools
Decisions
Reallocate trade spend • Optimize pricing
Execution
Align retail plans • Adjust promo calendars
Impact
5–15%
↑ Trade ROI
2–5%
↑ Revenue
Reduced
funding leakage
Campaign Orchestration
Goal
Drive higher conversion across channels.
Signals
Customer data • Loyalty • Market trends
Insights
Audience gaps • Channel performance
Adoption
Real-time performance feedback
Decisions
Budget allocation • Message optimization
Execution
Activate across digital, store, media
Impact
10–25%
↑ Conversion
ROI
↑ Campaign
Faster
campaign cycles
Store Playbook: Winning Every Store
Goal
Execute enterprise strategy locally.
Signals
Local demand • Competitor pricing • Footfall • Inventory
Insights
Store-level gaps • Execution variance
Adoption
Managers act via guided AI interface
Decisions
Localized pricing • Assortment • Staffing
Execution
Deploy store-specific playbooks
Impact
2–4%
↑ Traffic
3–6%
↑ Basket size
Consistent
execution across stores
Merchandising, Assortment & OTB Planning
Goal
Improve sell-through and margin.
Signals
POS • Demand trends • Inventory • Local preferences
Insights
Demand gaps • Slow movers • Margin risk
Adoption
AI embedded in merchant workflow
Decisions
Optimize assortment • Reallocate OTB
Execution
Update plans • Trigger replenishment
Impact
10–20%
↓ Stockouts
3–7%
↑ Sell-through
+50–150 bps
margin lift
Sales & Revenue Growth (CPG)
Goal
Improve trade ROI and revenue growth.
Signals
Sell-through • Trade spend • Elasticity • Retailer performance
Insights
Promo ROI • Price sensitivity • Funding inefficiencies
Adoption
Sales teams act inside daily tools
Decisions
Reallocate trade spend • Optimize pricing
Execution
Align retail plans • Adjust promo calendars
Impact
5–15%
↑ Trade ROI
2–5%
↑ Revenue
Reduced
funding leakage
Campaign Orchestration
Goal
Drive higher conversion across channels.
Signals
Customer data • Loyalty • Market trends
Insights
Audience gaps • Channel performance
Adoption
Real-time performance feedback
Decisions
Budget allocation • Message optimization
Execution
Activate across digital, store, media
Impact
10–25%
↑ Conversion
ROI
↑ Campaign
Faster
campaign cycles
Store Playbook: Winning Every Store
Goal
Execute enterprise strategy locally.
Signals
Local demand • Competitor pricing • Footfall • Inventory
Insights
Store-level gaps • Execution variance
Adoption
Managers act via guided AI interface
Decisions
Localized pricing • Assortment • Staffing
Execution
Deploy store-specific playbooks
Impact
2–4%
↑ Traffic
3–6%
↑ Basket size
Consistent
execution across stores
Merchandising, Assortment & OTB Planning
Goal
Improve sell-through and margin.
Signals
POS • Demand trends • Inventory • Local preferences
Insights
Demand gaps • Slow movers • Margin risk
Adoption
AI embedded in merchant workflow
Decisions
Optimize assortment • Reallocate OTB
Execution
Update plans • Trigger replenishment
Impact
10–20%
↓ Stockouts
3–7%
↑ Sell-through
+50–150 bps
margin lift
Sales & Revenue Growth (CPG)
Goal
Improve trade ROI and revenue growth.
Signals
Sell-through • Trade spend • Elasticity • Retailer performance
Insights
Promo ROI • Price sensitivity • Funding inefficiencies
Adoption
Sales teams act inside daily tools
Decisions
Reallocate trade spend • Optimize pricing
Execution
Align retail plans • Adjust promo calendars
Impact
5–15%
↑ Trade ROI
2–5%
↑ Revenue
Reduced
funding leakage
Campaign Orchestration
Goal
Drive higher conversion across channels.
Signals
Customer data • Loyalty • Market trends
Insights
Audience gaps • Channel performance
Adoption
Real-time performance feedback
Decisions
Budget allocation • Message optimization
Execution
Activate across digital, store, media
Impact
10–25%
↑ Conversion
ROI
↑ Campaign
Faster
campaign cycles
Store Playbook: Winning Every Store
Goal
Execute enterprise strategy locally.
Signals
Local demand • Competitor pricing • Footfall • Inventory
Insights
Store-level gaps • Execution variance
Adoption
Managers act via guided AI interface
Decisions
Localized pricing • Assortment • Staffing
Execution
Deploy store-specific playbooks
Impact
2–4%
↑ Traffic
3–6%
↑ Basket size
Consistent
execution across stores
Merchandising, Assortment & OTB Planning
Goal
Improve sell-through and margin.
Signals
POS • Demand trends • Inventory • Local preferences
Insights
Demand gaps • Slow movers • Margin risk
Adoption
AI embedded in merchant workflow
Decisions
Optimize assortment • Reallocate OTB
Execution
Update plans • Trigger replenishment
Impact
10–20%
↓ Stockouts
3–7%
↑ Sell-through
+50–150 bps
margin lift
Sales & Revenue Growth (CPG)
Goal
Improve trade ROI and revenue growth.
Signals
Sell-through • Trade spend • Elasticity • Retailer performance
Insights
Promo ROI • Price sensitivity • Funding inefficiencies
Adoption
Sales teams act inside daily tools
Decisions
Reallocate trade spend • Optimize pricing
Execution
Align retail plans • Adjust promo calendars
Impact
5–15%
↑ Trade ROI
2–5%
↑ Revenue
Reduced
funding leakage
Campaign Orchestration
Goal
Drive higher conversion across channels.
Signals
Customer data • Loyalty • Market trends
Insights
Audience gaps • Channel performance
Adoption
Real-time performance feedback
Decisions
Budget allocation • Message optimization
Execution
Activate across digital, store, media
Impact
10–25%
↑ Conversion
ROI
↑ Campaign
Faster
campaign cycles
Store Playbook: Winning Every Store
Goal
Execute enterprise strategy locally.
Signals
Local demand • Competitor pricing • Footfall • Inventory
Insights
Store-level gaps • Execution variance
Adoption
Managers act via guided AI interface
Decisions
Localized pricing • Assortment • Staffing
Execution
Deploy store-specific playbooks
Impact
2–4%
↑ Traffic
3–6%
↑ Basket size
Consistent
execution across stores
Merchandising, Assortment & OTB Planning
Goal
Improve sell-through and margin.
Signals
POS • Demand trends • Inventory • Local preferences
Insights
Demand gaps • Slow movers • Margin risk
Adoption
AI embedded in merchant workflow
Decisions
Optimize assortment • Reallocate OTB
Execution
Update plans • Trigger replenishment
Impact
10–20%
↓ Stockouts
3–7%
↑ Sell-through
+50–150 bps
margin lift
Sales & Revenue Growth (CPG)
Goal
Improve trade ROI and revenue growth.
Signals
Sell-through • Trade spend • Elasticity • Retailer performance
Insights
Promo ROI • Price sensitivity • Funding inefficiencies
Adoption
Sales teams act inside daily tools
Decisions
Reallocate trade spend • Optimize pricing
Execution
Align retail plans • Adjust promo calendars
Impact
5–15%
↑ Trade ROI
2–5%
↑ Revenue
Reduced
funding leakage
Campaign Orchestration
Goal
Drive higher conversion across channels.
Signals
Customer data • Loyalty • Market trends
Insights
Audience gaps • Channel performance
Adoption
Real-time performance feedback
Decisions
Budget allocation • Message optimization
Execution
Activate across digital, store, media
Impact
10–25%
↑ Conversion
ROI
↑ Campaign
Faster
campaign cycles
Store Playbook: Winning Every Store
Goal
Execute enterprise strategy locally.
Signals
Local demand • Competitor pricing • Footfall • Inventory
Insights
Store-level gaps • Execution variance
Adoption
Managers act via guided AI interface
Decisions
Localized pricing • Assortment • Staffing
Execution
Deploy store-specific playbooks
Impact
2–4%
↑ Traffic
3–6%
↑ Basket size
Consistent
execution across stores
Merchandising, Assortment & OTB Planning
Goal
Improve sell-through and margin.
Signals
POS • Demand trends • Inventory • Local preferences
Insights
Demand gaps • Slow movers • Margin risk
Adoption
AI embedded in merchant workflow
Decisions
Optimize assortment • Reallocate OTB
Execution
Update plans • Trigger replenishment
Impact
10–20%
↓ Stockouts
3–7%
↑ Sell-through
+50–150 bps
margin lift
Sales & Revenue Growth (CPG)
Goal
Improve trade ROI and revenue growth.
Signals
Sell-through • Trade spend • Elasticity • Retailer performance
Insights
Promo ROI • Price sensitivity • Funding inefficiencies
Adoption
Sales teams act inside daily tools
Decisions
Reallocate trade spend • Optimize pricing
Execution
Align retail plans • Adjust promo calendars
Impact
5–15%
↑ Trade ROI
2–5%
↑ Revenue
Reduced
funding leakage
Campaign Orchestration
Goal
Drive higher conversion across channels.
Signals
Customer data • Loyalty • Market trends
Insights
Audience gaps • Channel performance
Adoption
Real-time performance feedback
Decisions
Budget allocation • Message optimization
Execution
Activate across digital, store, media
Impact
10–25%
↑ Conversion
ROI
↑ Campaign
Faster
campaign cycles
Store Playbook: Winning Every Store
Goal
Execute enterprise strategy locally.
Signals
Local demand • Competitor pricing • Footfall • Inventory
Insights
Store-level gaps • Execution variance
Adoption
Managers act via guided AI interface
Decisions
Localized pricing • Assortment • Staffing
Execution
Deploy store-specific playbooks
Impact
2–4%
↑ Traffic
3–6%
↑ Basket size
Consistent
execution across stores
Merchandising, Assortment & OTB Planning
Goal
Improve sell-through and margin.
Signals
POS • Demand trends • Inventory • Local preferences
Insights
Demand gaps • Slow movers • Margin risk
Adoption
AI embedded in merchant workflow
Decisions
Optimize assortment • Reallocate OTB
Execution
Update plans • Trigger replenishment
Impact
10–20%
↓ Stockouts
3–7%
↑ Sell-through
+50–150 bps
margin lift
Sales & Revenue Growth (CPG)
Goal
Improve trade ROI and revenue growth.
Signals
Sell-through • Trade spend • Elasticity • Retailer performance
Insights
Promo ROI • Price sensitivity • Funding inefficiencies
Adoption
Sales teams act inside daily tools
Decisions
Reallocate trade spend • Optimize pricing
Execution
Align retail plans • Adjust promo calendars
Impact
5–15%
↑ Trade ROI
2–5%
↑ Revenue
Reduced
funding leakage
Campaign Orchestration
Goal
Drive higher conversion across channels.
Signals
Customer data • Loyalty • Market trends
Insights
Audience gaps • Channel performance
Adoption
Real-time performance feedback
Decisions
Budget allocation • Message optimization
Execution
Activate across digital, store, media
Impact
10–25%
↑ Conversion
ROI
↑ Campaign
Faster
campaign cycles
Store Playbook: Winning Every Store
Goal
Execute enterprise strategy locally.
Signals
Local demand • Competitor pricing • Footfall • Inventory
Insights
Store-level gaps • Execution variance
Adoption
Managers act via guided AI interface
Decisions
Localized pricing • Assortment • Staffing
Execution
Deploy store-specific playbooks
Impact
2–4%
↑ Traffic
3–6%
↑ Basket size
Consistent
execution across stores
Merchandising, Assortment & OTB Planning
Goal
Improve sell-through and margin.
Signals
POS • Demand trends • Inventory • Local preferences
Insights
Demand gaps • Slow movers • Margin risk
Adoption
AI embedded in merchant workflow
Decisions
Optimize assortment • Reallocate OTB
Execution
Update plans • Trigger replenishment
Impact
10–20%
↓ Stockouts
3–7%
↑ Sell-through
+50–150 bps
margin lift
Sales & Revenue Growth (CPG)
Goal
Improve trade ROI and revenue growth.
Signals
Sell-through • Trade spend • Elasticity • Retailer performance
Insights
Promo ROI • Price sensitivity • Funding inefficiencies
Adoption
Sales teams act inside daily tools
Decisions
Reallocate trade spend • Optimize pricing
Execution
Align retail plans • Adjust promo calendars
Impact
5–15%
↑ Trade ROI
2–5%
↑ Revenue
Reduced
funding leakage
Campaign Orchestration
Goal
Drive higher conversion across channels.
Signals
Customer data • Loyalty • Market trends
Insights
Audience gaps • Channel performance
Adoption
Real-time performance feedback
Decisions
Budget allocation • Message optimization
Execution
Activate across digital, store, media
Impact
10–25%
↑ Conversion
ROI
↑ Campaign
Faster
campaign cycles
Store Playbook: Winning Every Store
Goal
Execute enterprise strategy locally.
Signals
Local demand • Competitor pricing • Footfall • Inventory
Insights
Store-level gaps • Execution variance
Adoption
Managers act via guided AI interface
Decisions
Localized pricing • Assortment • Staffing
Execution
Deploy store-specific playbooks
Impact
2–4%
↑ Traffic
3–6%
↑ Basket size
Consistent
execution across stores
Merchandising, Assortment & OTB Planning
Goal
Improve sell-through and margin.
Signals
POS • Demand trends • Inventory • Local preferences
Insights
Demand gaps • Slow movers • Margin risk
Adoption
AI embedded in merchant workflow
Decisions
Optimize assortment • Reallocate OTB
Execution
Update plans • Trigger replenishment
Impact
10–20%
↓ Stockouts
3–7%
↑ Sell-through
+50–150 bps
margin lift
Sales & Revenue Growth (CPG)
Goal
Improve trade ROI and revenue growth.
Signals
Sell-through • Trade spend • Elasticity • Retailer performance
Insights
Promo ROI • Price sensitivity • Funding inefficiencies
Adoption
Sales teams act inside daily tools
Decisions
Reallocate trade spend • Optimize pricing
Execution
Align retail plans • Adjust promo calendars
Impact
5–15%
↑ Trade ROI
2–5%
↑ Revenue
Reduced
funding leakage
Campaign Orchestration
Goal
Drive higher conversion across channels.
Signals
Customer data • Loyalty • Market trends
Insights
Audience gaps • Channel performance
Adoption
Real-time performance feedback
Decisions
Budget allocation • Message optimization
Execution
Activate across digital, store, media
Impact
10–25%
↑ Conversion
ROI
↑ Campaign
Faster
campaign cycles
Store Playbook: Winning Every Store
Goal
Execute enterprise strategy locally.
Signals
Local demand • Competitor pricing • Footfall • Inventory
Insights
Store-level gaps • Execution variance
Adoption
Managers act via guided AI interface
Decisions
Localized pricing • Assortment • Staffing
Execution
Deploy store-specific playbooks
Impact
2–4%
↑ Traffic
3–6%
↑ Basket size
Consistent
execution across stores
Merchandising, Assortment & OTB Planning
Goal
Improve sell-through and margin.
Signals
POS • Demand trends • Inventory • Local preferences
Insights
Demand gaps • Slow movers • Margin risk
Adoption
AI embedded in merchant workflow
Decisions
Optimize assortment • Reallocate OTB
Execution
Update plans • Trigger replenishment
Impact
10–20%
↓ Stockouts
3–7%
↑ Sell-through
+50–150 bps
margin lift
Sales & Revenue Growth (CPG)
Goal
Improve trade ROI and revenue growth.
Signals
Sell-through • Trade spend • Elasticity • Retailer performance
Insights
Promo ROI • Price sensitivity • Funding inefficiencies
Adoption
Sales teams act inside daily tools
Decisions
Reallocate trade spend • Optimize pricing
Execution
Align retail plans • Adjust promo calendars
Impact
5–15%
↑ Trade ROI
2–5%
↑ Revenue
Reduced
funding leakage
Campaign Orchestration
Goal
Drive higher conversion across channels.
Signals
Customer data • Loyalty • Market trends
Insights
Audience gaps • Channel performance
Adoption
Real-time performance feedback
Decisions
Budget allocation • Message optimization
Execution
Activate across digital, store, media
Impact
10–25%
↑ Conversion
ROI
↑ Campaign
Faster
campaign cycles
Store Playbook: Winning Every Store
Goal
Execute enterprise strategy locally.
Signals
Local demand • Competitor pricing • Footfall • Inventory
Insights
Store-level gaps • Execution variance
Adoption
Managers act via guided AI interface
Decisions
Localized pricing • Assortment • Staffing
Execution
Deploy store-specific playbooks
Impact
2–4%
↑ Traffic
3–6%
↑ Basket size
Consistent
execution across stores
Why RETAiLABS
Why RETAiLABS
Why RETAiLABS
From Insight to Execution
From Insight to Execution
Connected decisions across systems
Insight
Decision
Execution
Powered by AI
Powered by AI
Enterprise-grade. Human-controlled.
Retail, CPG, and tech experience combined
Built to Scale
Built to Scale
Start small. Expand across enterprise.
Outcome Driven
Outcome Driven
Outcome Driven
Fast to Value
Fast to Value
Fast to Value
<0
<0
Deploy in Weeks
Start Small. Scale Fast.
Proof of Orchestration in 8–12 Weeks.
Step 1
Select urgent use case
Step 2
Deploy context layer
Step 3
Activate workflows
Step 4
Scale across enterprise
Start Small. Scale Fast.
Proof of Orchestration in 8–12 Weeks.
Step 1
Select urgent use case
Step 2
Deploy context layer
Step 3
Activate workflows
Step 4
Scale across enterprise
Start Small. Scale Fast.
Proof of Orchestration in 8–12 Weeks.
Step 1
Select urgent use case
Step 2
Deploy context layer
Step 3
Activate workflows
Step 4
Scale across enterprise
Bring Us Your Challenge
Bring Us Your Challenge
Bring Us Your Challenge