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Solution Blueprint
Agentic Supply Chain Orchestration

Retail & CPG

Unolabs engineers the demand-response operating systems for retail and CPG enterprises. We unify fragmented customer, product, store, and supply signals into governed data products that power real-time merchandising, forecasting, and autonomous inventory rebalancing.

Operational Context

For global retailers, FMCG groups, food and beverage manufacturers, and omnichannel commerce leaders.

Strategic Mandate

Engineering specialized data zones and autonomous processing layers for Retail & CPG leaders.

Industry Challenges

Architectural Bottlenecks Hindering Retail & CPG Transformation

Fragmented Commercial Estates: Customer, product, and store signals are siloed across ERP, POS, and e-commerce feeds, preventing a unified view of the demand-response loop.

Operational Latency: Demand planners cannot connect promotion activity, inventory movement, and channel response fast enough to prevent stockouts or margin erosion.

Technical Debt Gravity: Legacy BW systems and static reporting silos slow decision-making across global plants and regions, hindering autonomous inventory rebalancing.

Anonymized Use Cases

Relevant patterns from industry work

Each pattern represents a validated technical outcome delivered for global enterprise clients.

Use Case 01

Agentic Supply Chain Orchestration

Deployed autonomous AI agents for a global CPG leader to manage raw material reordering and freight negotiation, reducing supply chain lead times by 22% in the 2026 volatility cycle.

Read Technical Proof
Use Case 02

Hyper-Local Fulfillment Optimization

Integrated real-time POS and traffic signals for an urban micro-fulfillment network, enabling sub-2-hour delivery windows for high-velocity SKUs through predictive stock positioning.

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Use Case 03

SAP Migration & Demerger Strategy

Successfully separated a Fortune-100 retailer from its parent through a governed cloud platform, delivering $2.5M in migration savings while preserving compliance.

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Industry Flow

Retail & CPG Data Flow

Input

POS, ecommerce, SAP, CRM, distributors

Customer, product, store, promotion, inventory, sell-in, sell-out, and supply signals enter from fragmented commercial and operational systems.

SAP + APIs + files
Treat

Domain data products

Unolabs standardizes product, customer, channel, promotion, geography, and time dimensions with quality checks and lineage.

Lakehouse + DQ
Model

Demand and customer intelligence

Forecast-ready features, propensity models, promotion lift, stockout indicators, and trade analytics are created.

ML + semantic layer
Activate

Planner, marketer, supply, finance

Business teams consume dashboards, recommendations, alerts, and agentic workflows for faster decisions.

BI + workflow
Industry Architecture Blueprint

Diagnostic view of the Retail & CPG data stack

This blueprint details the specialized processing zones, control points, and delivery channels specific to the Retail & CPG landscape.

Retail Intelligence Fabric
RETAIL_V2
[Source Signals] → [Product/Customer MDM] → [Domain Data Products] ↑ ↓ ↓ [Demand Forecast] ← [Promotion Lift Model] ← [Inventory Consistency] ↑ ↓ ↓ [Adoption Loop] ← [Activation Workflow] ← [Channel Attribution]
Outcomes

Industry Transformation Outcomes

Industrialized Demand Intelligence

Accelerated Commercial Velocity

Governed Retail Data Ecosystems

Connect the Dots

Engineering Retail & CPG Ecosystems

How our 2026 service catalog integrates to solve high-growth industry challenges.

Step 01

Enterprise CPG Intelligence Architecture

Industry

"Deploy pre-built 2026 demand models for promotion lift and hyper-local inventory positioning."

8-12 week intelligence deployment60% faster than custom-built models
Step 02

Data Engineering & Integration

Engineering

"Engineer real-time commercial pipelines to unify POS, ecommerce, and supply data for 2026-ready merchandising agents."

Accelerated ModernizationReal-Time Visibility
Step 03

Data Architecture

Strategy

"Design a domain-driven retail data mesh to decouple product, customer, and store silos into governed data products."

Azure, AWS, Fabric, SnowflakeC4-Level System Design
Step 04

Enterprise Data Platform Building

Engineering

"Build cloud-native retail lakehouses on Snowflake or Fabric to handle sub-second promotion lift and stockout analytics."

Ecosystem InteroperabilityModernization Acceleration
Step 05

Agentic AI & Autonomous Operations

Intelligence

"Implement autonomous agents to orchestrate raw material reordering and negotiate freight in real-time."

Goal-Oriented ReasoningMulti-Agent Orchestration
Step 06

Enterprise Predictive Intelligence & Decision Forecasting

Intelligence

"Turn historical promotion and sales data into proactive demand forecasting and stockout alerts."

Forecast Error ReductionDecision Response Speed
Step 07

Data Visualisation

Intelligence

"Build immersive merchandising cockpits to visualize hyper-local demand and promotion lift."

Executive Decision AccelerationReal-Time Operational Visibility
Step 08

Enterprise Decision Intelligence & Operational Analytics

Intelligence

"Shift from historical reporting to predictive demand signals across your global SKU portfolio."

Operational IntelligenceGoverned Reporting Ecosystems
Step 09

DevOps & SRE

Engineering Operations

"Implement high-availability DevOps for Black Friday scale and edge POS reliability."

Accelerated ModernizationOperational Delivery Velocity
Discovery Cycle

Initiate Your Retail & CPG Modernization Brief

We'll review your current architecture, identify immediate bottlenecks, and draft a production-grade roadmap for your autonomous transformation.