Home / Industries / Consumer Goods

Category Intelligence to Commercial Execution Data Capability Built for the Pace of Consumer-Driven Markets

CPG organisations face a compounding data challenge: product content is inconsistent across retail and e-commerce channels, shopper behaviour signals sit fragmented across syndicated data, loyalty platforms, and direct-to-consumer properties, while distributor and trade partner performance is tracked through lagging sell-in reports that obscure real shelf-level dynamics.
Xelium Labs partners with brand manufacturers, private label operators, and multi-category CPG businesses to build the data infrastructure, commercial intelligence, and digital channel capability that connects brand investment to measurable sell-through.

0 +

CPG & Brand Clients

0 +

Core Service Capabilities

0 +

Measurable Delivery Outcomes

CPG

Domain Intelligence

What We Provide

Shelf to Shopper Data & Intelligence Services Calibrated to CPG Commercial Complexity

Shelf to Shopper Data & Intelligence Services Calibrated to CPG Commercial Complexity

From product content syndication architecture and trade channel sell-through analytics to AI-driven shopper segmentation and digital shelf optimisation, we give CPG organisations the commercial intelligence infrastructure and channel execution capability that disconnected syndicated data subscriptions and category management spreadsheets cannot provide.
Whether the constraint is a product data estate so inconsistent across retail portals that listings go live with missing attributes and incorrect pack hierarchies, a trade promotion evaluation process still reliant on sell-in volume as the primary success metric when what matters is incremental sell-out lift, a shopper analytics function that can report purchase frequency but cannot connect media exposure to category switching behaviour, or a distributor scorecard that measures revenue but not the on-shelf availability and out-of-stock patterns that actually determine rate of sale — our practitioners work inside CPG commercial environments, not around them.

Product Data Management

Architect and operate a centralised product content foundation covering GTIN and pack hierarchy governance, attribute schema standardisation across category and channel requirements, digital asset management integration, and automated syndication pipelines to major retail portals and data pools including GS1, 1WorldSync, and Salsify eliminating the content gaps and attribute errors that cause listing rejections, suppressed search placement, and conversion rate drag on digital shelf.

AI-Based Consumer Insights

Build shopper intelligence models that synthesise first-party loyalty data, social listening signals, panel purchase behaviour, and search intent patterns into actionable segmentation frameworks identifying the switching triggers, basket composition dynamics, and repertoire buying patterns that determine category penetration strategy and inform the portfolio positioning decisions that syndicated tracking data cannot resolve at the individual shopper level.

Sales & Marketing Intelligence

Unify trade spend, media investment, and sell-out performance data into integrated commercial dashboards that quantify promotional ROI at the mechanic and account level, model the incremental volume contribution of above-the-line and shopper marketing activations, and give sales and marketing leadership the unified attribution framework needed to rebalance investment between trade promotion, digital media, and field execution where each pound or dollar compounds most reliably into category share.

Retail & Distributor Analytics

Consolidate point-of-sale, scan data, distributor sell-through, and retail audit feeds into unified category performance layers that track rate of sale by SKU, outlet type, and promotional mechanic surfacing the distribution voids, shelf compliance gaps, and rate-of-sale disparities across trade channels that aggregate sell-in reports systematically conceal from brand and category management teams.

Digital Commerce Enablement

Design and deploy the product content, search optimisation, and channel analytics infrastructure for D2C, marketplace, and omnichannel commerce environments covering digital shelf audit automation, content scoring frameworks, keyword relevance modelling for retail search, A/B testing infrastructure for PDP content, and the data architecture that connects digital shelf performance metrics to media investment and trade investment decisions in near real time.

Enterprise Data Governance

Establish the data ownership, master data management protocols, and cross-functional data stewardship frameworks that prevent the product content inconsistency, duplicate customer records, and conflicting channel performance metrics that accumulate when commercial, supply chain, and digital teams operate against separate data definitions and uncoordinated source systems building the single version of commercial truth that scalable CPG analytics requires.

Channel-agnostic delivery: Our implementations span branded manufacturer and private label environments across grocery, convenience, foodservice, pharmacy, and pure-play e-commerce channels and are built to integrate with the retailer data collaboration programmes, syndicated data providers (Nielsen IQ, Circana, Kantar), and trade partner EDI environments that CPG commercial functions rely on without requiring a wholesale replacement of existing data contracts or retailer relationships.

Our Approch

From Brief to Deployed
How We Engage

A structured, transparent process that keeps you in control at every step.

01

Discovery & Scoping

We align on your GCC vision, hiring priorities, and talent landscape

02

Strategy & Planning

Workforce planning, sourcing strategy, timelines, and market intelligence

03

Talent Sourcing

Active pipeline creation from our curated networks and deep market reach

01

Screening & Shortlisting

Rigorous multi-stage evaluation for technical, cultural, and role fit

01

Delivery & Onboarding

Seamless handover with post-hire support and retention partnership
Key Business Outcomes

Four Outcomes That Define
CPG Commercial Intelligence Advantage

CPG organisations gain and defend category share through the precision of their retail execution, the accuracy of their shopper understanding, the speed of their channel response, and the commercial discipline of their distributor and trade partner relationships. Every engagement we undertake is anchored to one of these four levers with quantified performance benchmarks defined at programme inception, not attributed retrospectively.
We work backwards from commercial P&L whether that means eliminating the product content deficiencies suppressing digital shelf conversion rates, replacing sell-in-based trade performance metrics with sell-out and on-shelf availability intelligence that reflects real channel dynamics, building the shopper segmentation depth that converts category penetration ambitions into targeted acquisition and retention programmes, or accelerating the route-to-market speed that determines whether a product innovation reaches commercial scale before the category window closes.

01

Digital & Physical Shelf Presence Integrity

A governed product content foundation with automated syndication to retail portals eliminates the attribute gaps, incorrect pack dimensions, and missing digital assets that suppress search placement, trigger listing rejections, and reduce add-to-cart conversion on digital shelf while retail audit data integration surfaces the physical availability and planogram compliance gaps that cost rate of sale in traditional trade before they show up in sell-out reporting.

02

Route-to-Market Acceleration

Standardised product data architecture with pre-validated retailer attribute templates, automated content scoring against channel-specific listing requirements, and distributor onboarding data workflows compress the time between SKU finalisation and commercial availability in each channel — removing the manual back-and-forth between brand, sales, and retail partner content teams that causes new product launches to miss their category review and promotional planning windows.

03

Distributor Sell-Through Transparency

Integrating distributor sell-through, outlet-level scan data, and field sales audit feeds into a unified performance layer replaces sell-in volume as the primary channel health metric — giving national accounts and trade marketing teams the outlet-level rate of sale, distribution void, and promotional compliance data needed to hold distributor partners accountable for execution quality rather than simply order volume, and to redirect field investment toward the coverage gaps that are actually limiting sell-out.

04

Shopper Targeting Precision & Media Efficiency

AI-driven shopper segmentation models that identify repertoire switching triggers, basket affinity patterns, and channel migration behaviour give brand and media teams the targeting architecture to shift campaign investment from broad demographic proxies to high-propensity shopper cohorts — improving conversion efficiency on digital media, increasing relevance scores on retail media platforms, and connecting above-the-line investment to measurable category penetration movement at the household panel level.

Our Approach

From Fragmented Commercial
Data to Unified CPG Intelligence How We Engage

A delivery methodology calibrated to CPG commercial rhythms category review cycles, promotional planning windows, retailer range reset timelines, and annual trade investment planning that builds against your existing data contracts, retail partnerships, and commercial systems rather than treating integration complexity as a reason to defer analytical value.

01

Commercial Data Audit

Assess current product data quality, syndicated data coverage, trade channel reporting gaps, shopper data assets, and system integration landscape across retail, distributor, and D2C touchpoints

02

Commercial Constraint Prioritisation

Identify the highest-impact data and intelligence gaps the specific deficiencies limiting shelf presence, channel response speed, trade investment efficiency, or shopper targeting precision and sequence a phased programme against commercial calendar priorities

03

Data Architecture & Integration Design

Design the product data model, commercial analytics layer, and integration architecture that will underpin PDM, sell-through analytics, and shopper intelligence built against your existing syndicated data contracts, retailer data collaboration agreements, and internal ERP environment

04

Intelligence Build & Channel Deployment

Develop and validate shopper models, trade analytics dashboards, and product content workflows against live commercial data iterating with brand, category, and sales teams before handover to production use in commercial planning cycles

05

Stewardship & Capability Transfer

Transition ownership of data governance protocols, model refresh cadences, and commercial dashboard maintenance to internal teams with training, documentation, and escalation frameworks that sustain analytical quality through product range changes, market expansions, and commercial system upgrades
Technologies & Platforms

The CPG Data & Commerce
Stack We Work Deepest In

Our practitioners work across the full modern CPG data and digital commerce technology landscape from product content management and retail data syndication infrastructure to AI-based shopper modelling pipelines and trade analytics platforms with hands-on implementation experience across the systems and data environments that underpin global CPG commercial operations.

Product Content & MDM Platforms

Salsify
Akeneo PIM
Stibo STEP
1WorldSync / GS1 data pools
Syndigo
inRiver

Syndicated Data & Retail Intelligence

NielsenIQ / Circana (IRI)
Kantar Worldpanel
Dunnhumby / 84.51°
Numerator
SPINS (natural channel)
Retail Link /

Consumer Analytics & AI

Python (scikit-learn / Prophet)
Databricks / Snowflake
Segment CDP
Tealium / mParticle
Brandwatch / Sprinklr
Azure ML / SageMaker

Commerce & BI Infrastructure

Shopify Plus / CommerceTools
Profitero / DataImpact (digital shelf)
Power BI / Tableau / Looker
dbt / Airflow
SAP Trade Management
Why Xelium Labs

Four Outcomes That Define
CPG Commercial Intelligence Advantage

Most data and analytics vendors understand the technology specifications. Few understand the difference between a product content platform deployment and one that actually eliminates listing rejections and digital shelf suppression, the distance between a trade analytics dashboard and one that changes how a sales director allocates field investment across a distributor network.
The gap between a shopper segmentation model and one that a brand manager can act on within a planning cycle, or the commercial consequences of a data governance programme that addresses system hygiene but leaves the cross-functional ownership questions that caused the problem unanswered. Our CPG practice is built around practitioners who have worked inside brand management, category development, and commercial analytics functions not just configured platforms for them.

01

Commercial-Native Delivery

Our practitioners align to CPG commercial calendars category review cycles, range reset windows, promotional planning seasons, and annual trade investment rounds ensuring that the intelligence infrastructure we build is ready when the commercial decisions that depend on it are being made, not delivered after the planning window has closed.

02

Category Management Depth

We understand how CPG category performance is measured rate of sale, weighted distribution, share of shelf, price index, promotional frequency, and category penetration and build analytics outputs that use the vocabulary and frameworks that category and brand teams actually apply in retailer joint business planning conversations, not generic dashboard metrics that require translation before they are commercially useful.

03

Multi-Channel Architecture Fluency

We design data architecture that handles the structural differences between grocery multiples, convenience and impulse, foodservice, pharmacy, and pure-play e-commerce channel data environments accounting for the different data latency, coverage quality, and attribute requirements of each channel rather than applying a single integration pattern that works in one channel and produces gaps or distortions in the others.

04

Trade Investment Economics Fluency

We understand the mechanics of CPG trade investment — promotional funding structures, co-op media arrangements, volume rebate tiers, and the common misalignment between how trade spend is accounted for and how promotional lift is measured — and build analytics that reconcile those structures with actual sell-out data rather than defaulting to sell-in volume as a proxy for trade programme effectiveness.

05

First-Party Data Readiness

As syndicated panel and third-party cookie-based audience infrastructure contracts, we build the first-party data foundations loyalty programme analytics, D2C behavioural data capture, retail media audience collaboration frameworks that allow CPG brands to maintain shopper insight depth and media targeting precision without the structural dependency on data assets that are outside their control.

06

Outcome Accountability

We measure engagement success in CPG commercial terms digital shelf content score improvement, listing rejection rate reduction, distributor sell-through visibility coverage, promotional ROI accuracy, shopper segmentation adoption rate in media planning and structure every programme milestone around those benchmarks rather than platform deployment completions that don't connect to commercial performance.

Other Industries We Serve

Explore Our
Industry Practice Areas

Xelium Labs brings vertical-specific expertise across a broad range of industries each with its own technology, talent, and operational playbook.
Healthcare & Life Sciences
Banking & Financial Services
Retail & E-Commerce
Manufacturing
Logistics & Supply Chain
Technology & SaaS
Telecom
Energy & Utilities
CPG & Consumer Brand Leaders

Structured for the Realities of
Consumer-Driven Commercial Organisations

CPG functions operate on category review cycles, promotional planning windows, retailer range reset timelines, and NPD launch calendars that are structurally different from technology sprint cadences or logistics contract windows. Our engagement models are designed around those commercial rhythms not generic analytics delivery frameworks that produce insights after the decisions they were meant to inform have already been made.
Mode 01

Embedded Commercial Analytics

A dedicated CPG analytics practitioner embedded within your category, brand, or commercial function aligned to planning cycles, participating in range review preparation and joint business planning processes, and iterating analytical outputs against live commercial decisions rather than delivering periodic reports disconnected from the rhythm at which your teams make investment and portfolio choices.

Mode 02

Product Data Foundation Build

A scoped engagement to design and operationalise a centralised PDM infrastructure — covering attribute schema governance, pack hierarchy standardisation, digital asset integration, and automated syndication to retail portals and data pools — with handover protocols that leave your brand operations and e-commerce teams in full ownership of the content governance process after deployment.

Mode 03

Shopper Intelligence Programme

A structured programme to build the shopper segmentation, basket analytics, and channel attribution models that connect consumer behaviour data to commercial decision-making — covering data source integration, model development, segment validation with brand and category teams, and the workflow design that determines how shopper intelligence is applied in media planning, range architecture, and promotional mechanic selection.

Mode 04

Trade & Digital Commerce Intelligence

End-to-end design and deployment of an integrated commercial intelligence layer — connecting distributor sell-through, retail scan data, digital shelf performance, and trade investment records into a unified dashboard environment with the data governance framework, ownership model, and refresh cadence that prevents the commercial data quality decay that causes CPG intelligence programmes to lose organisational trust within twelve months of launch.

Client Perspectives

Trusted by
CPG & Consumer Brand Leaders

Our product listings across the major grocery e-commerce platforms were inconsistent missing nutritional attributes, incorrect case configurations, outdated hero imagery. We were losing search placement to competitors with worse products but cleaner content. Xelium Labs built a PDM layer with automated syndication that took content accuracy from below 60% to above 94% across our active SKU range. The improvement in digital shelf ranking and conversion rate was measurable within two category review cycles.
Head of Digital Commerce, Multi-Category FMCG, UK
We were evaluating trade promotion effectiveness using sell-in data from our distributor partners, which told us almost nothing about what was actually happening at the outlet level. Xelium Labs built the sell-through integration that pulled actual scan data from our top accounts and mapped it against our promotional mechanics and trade investment by account. For the first time, our commercial team could see which mechanics were generating genuine incremental lift versus simply moving volume forward in time. Our trade ROI improved materially within a single planning year.
Commercial Director, Branded Foods Business, Australia
Our shopper analytics capability was strong on purchase frequency and basket size but could not tell us why consumers were switching out of our category or which occasions we were losing to adjacent categories. Xelium Labs built a segmentation model on top of our loyalty data that identified three distinct repertoire groups with materially different switching triggers. Our media team realigned campaign messaging against those segments and we saw a meaningful improvement in category re-engagement rates in the following quarter.
VP Consumer & Shopper Insights, Personal Care CPG, Spain

Ready to Connect Brand Investment to Measurable
Sell-Through, Shelf Presence, and Shopper Precision?

Whether you are building a governed product content foundation, replacing sell-in metrics with channel sell-through intelligence, developing the shopper segmentation depth to sharpen media targeting, or establishing the data governance structure that makes cross-functional CPG analytics sustainable — Xelium Labs has the category domain depth, commercial data expertise, and delivery rigour to execute.
Talk to Our CPG Practice
View Engagement Models