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

Inside Retail & CPG

Trade spend is your second-largest line item

Promo ROI is still argued from three versions of the truth: syndicated data, retailer portals, and internal sell-out. Meanwhile OTIF penalties and retailer scorecards punish every forecast miss, and shrink quietly erodes whatever the promo calendar earned. We build the governed sell-in/sell-out spine that ends the reconciliation argument.

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 single sell-through view across DCs, banners, and retailer portals.

Operational Latency: Demand planners cannot connect promotion activity, inventory movement, and channel response fast enough to prevent stockouts, OTIF penalties, or trade-spend leakage.

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

Anonymised 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, holding lead times under sustained demand volatility that had previously forced manual re-planning.

Read Technical Proof
Use Case 02

Hyper-Local Fulfilment Optimisation

Integrated real-time POS and traffic signals for an urban micro-fulfilment network, tightening delivery windows for high-velocity SKUs through predictive stock positioning.

Read Technical Proof
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 validated migration savings while preserving compliance.

Read Technical Proof
Demand Volatility & Margin Pressure
Agentic Supply Chain Orchestration
Explore the Demand Blueprint
Industry Flow

Retail & CPG Data Flow

Input

POS, e-commerce, 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 standardises 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 specialised 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

Industrialised Demand Intelligence

Accelerated Commercial Velocity

Governed Retail Data Ecosystems

Connect the Dots

Engineering Retail & CPG Ecosystems

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

Step 01

CPG Intelligence Accelerator

Conformed CPG dimensions

Industry

Starts from a conformed CPG dimension set instead of funding another multi-year build, so sell-in and sell-out reconcile on a stated rule.

GS1 GTINEDI 852SAP ECCNIQ
Step 02

Data Engineering & Integration

Two-tier match engine

Engineering

Harmonisation stops setting the pace of every downstream initiative, and the cost of matching stops scaling with the size of the estate.

“Every new commercial initiative arrives with a master-data remediation phase attached, so the answer to a simple question about the portfolio starts as a project.”

SAP ECCSalesforceDatabricks MedallionEDI 867
What lands

Verifiable matching log

Every match and merge recorded with its candidate pair, rule and score — so a golden record can be defended in an audit or a customer dispute, not merely trusted by the team that built it.

Survivorship is a commercial decision before a technical one: the record that loses takes its history with it, and no domain volunteers to be the loser.

Step 03

Data Architecture

Domain and MDM boundary

Strategy

Settles which channel owns which definition, so the same total is not reconciled twice and disputes close by governance, not in a meeting.

GS1 GDSNStibo STEPSalsifyUnity Catalog
Step 04

Enterprise Data Platform Engineering

Demerger landing zone

Engineering

The separated entity lands on a platform it owns outright, with entitlement rebuilt from the new boundary rather than inherited.

“The cutover date is contractual and the transition-services clock is already billing, while nobody can yet say which entity owns a given dataset or who signs for it.”

ADLS Gen2Entra IDMicrosoft PurviewTerraform
What lands

Dependency inventory

Every dataset attributed to one entity, with a named owner and its downstream consumers, sequenced into waves — the evidence base a separation steering committee signs against.

Inherited entitlement keeps working after the legal split: access granted by a parent that no longer exists still resolves, and nobody owns revoking it.

Step 05

Agentic AI & Autonomous Operations

Deduction claim triage

Intelligence

Short-pay claims are assembled and evidenced before they age, so gross-to-net leakage becomes a number with an owner, not a write-off line.

HighRadiusEDI 812SAP ARLangGraph
Step 06

Enterprise Predictive Intelligence & Decision Forecasting

Censored demand recovery

Intelligence

Forecasts learn from demand rather than from recorded sales, so an empty shelf stops teaching the plan that the demand was never there.

SAP IBPBlue YonderMLflow
Step 07

Enterprise Decision Intelligence & Operational Analytics

Contested promo baseline

Intelligence

Promotion spend traced through lift, cannibalisation and gross-to-net, so the second-largest line item can be defended rather than argued.

“Asked whether the promotional calendar paid out, three functions produce three numbers, and the next cycle is committed before anyone establishes which baseline was right.”

VistexCircanaNIQdbt
What lands

Baseline method register

One counterfactual method per promotion type — pre/post, matched stores or modelled — agreed with finance and fixed before the event, so a post-mortem settles the question rather than reopening it.

Syndicated reads land weeks after the event and are restated later, so the next calendar is committed before the evidence arrives that would have shaped it.

Step 08

Data Visualisation & BI Dashboards

Phantom inventory view

Intelligence

System on-hand shown against scan-based sell-through, so lost sales surface as a quantified figure, not a store manager's complaint.

Power BIEDI 852JDA Space Planning
Step 09

DevOps & SRE

Trading freeze window

Engineering Operations

Delivery is planned around the peak trading freeze, so a slipped release costs a quarter of roadmap rather than a weekend of trade.

Oracle XstoreGitHub ActionsPCI DSSKubernetes
Discovery Cycle

Start Your Retail & CPG Modernisation

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

"Bring one promo that should have paid out and didn't. We'll trace the leak together."