Consumer Products
AI for consumer products that senses demand, optimises price, and fixes your supply chain
You get AI agents for demand sensing, dynamic pricing, supply chain optimisation, and trade promotion analytics. They run on your cloud, connect to your existing POS and ERP systems, and produce the forecasts your commercial teams can act on.
Built on your AWS, Azure or GCP tenant. Retail-data compliant. Boardroom-ready.
Proof of concept
To measurable ROI
AWS, Azure or GCP
Your competitors already use AI to price, forecast, and allocate. You cannot afford to catch up later.
Consumer products companies sit on vast quantities of POS data, e-commerce signals, and supply chain telemetry. Most of it feeds static dashboards that arrive too late to change decisions. Meanwhile, your competitors use AI to sense demand shifts in days, adjust pricing in hours, and reroute supply chains before disruptions hit shelves.
We build AI agents that turn your existing data into decisions your commercial and supply chain teams can act on from SKU-level demand sensing and dynamic pricing to trade promotion optimisation and supply risk monitoring, with the audit trails your finance team requires.
improvement in demand forecast accuracy with AI sensing models (McKinsey QuantumBlack, 2024)
margin improvement achievable through AI-driven dynamic pricing (BCG X, 2024)
annual value at stake from AI-optimised CPG supply chains globally (McKinsey, 2024)
reduction in excess inventory with AI-powered demand planning (Deloitte Insights)
From POS signal to commercial action, in one workflow
We connect your POS feeds, e-commerce platforms, ERP, and supply chain systems to AI agents that sense demand, optimise pricing, manage trade spend, and flag supply risks before they reach your shelves.
POS, ERP, e-commerce and market data
- Approval gates
- Human-in-loop
- Audit logging
AWS, Azure or GCP
- Demand forecasts
- Price recommendations
- Supply alerts
What we deliver for consumer products enterprises
From demand sensing to supply chain optimisation, governed, auditable, enterprise-ready
Demand sensing and forecasting
Generate SKU-level demand forecasts from POS and market signals.
ROI
Process
Ingest demand signals
POS data, e-commerce traffic, weather forecasts, social sentiment, and promotional calendars fused in real time
Generate SKU forecasts
AI produces daily and weekly SKU-level demand forecasts with confidence intervals and driver attribution
Push to planning systems
Forecasts fed directly to your S&OP, production scheduling, and replenishment systems
Sources
Based on published findings: McKinsey QuantumBlack, 'AI-Driven Demand Sensing', 2024; BCG X, 'The AI-Native CPG Company' — reproduced for illustrative purposes
Dynamic pricing and revenue management
Find optimal price points across your portfolio automatically.
ROI
Process
Model price elasticity
Historical sales, competitive pricing, promotion effects, and channel costs analysed at the SKU-market level
Simulate scenarios
AI tests thousands of pricing scenarios against your margin targets, volume goals, and competitive positioning
Recommend and track
Price recommendations with expected impact delivered to commercial teams, with actual vs forecast tracking
Sources
Based on published findings: BCG X, 'AI-Powered Pricing in CPG', 2024; McKinsey, 'The Art and Science of Pricing' — reproduced for illustrative purposes
Supply chain optimisation
Predict supply disruptions and recommend reallocation fast.
ROI
Process
Map supply chain
Supplier data, logistics networks, inventory positions, and production capacity consolidated from all systems
Detect and predict risks
AI identifies supply constraints, transport delays, and demand-supply imbalances before they cascade
Recommend actions
Reallocation, rerouting, and production adjustment recommendations with cost and service level impact analysis
Sources
Based on published findings: McKinsey, 'Supply Chain 4.0', 2024; Deloitte Insights, 'AI-Resilient Supply Chains' — reproduced for illustrative purposes
Trade promotion effectiveness
Measure true promotion ROI and cut trade spend waste.
ROI
Process
Collect promotion data
Trade spend records, POS uplift data, baseline sales, and competitive activity aggregated across retailers
Decompose promotion ROI
AI separates incremental volume from pull-forward, pantry loading, and cannibalisation effects
Optimise future plans
Promotion recommendations by retailer, category, and mechanic with expected ROI projections
Sources
Based on published findings: BCG X, 'Revenue Growth Management', 2024; McKinsey, 'Winning with Trade Promotions' — reproduced for illustrative purposes
Consumer segmentation and personalisation
Segment consumers by behaviour and personalise at scale.
ROI
Process
Unify consumer data
Purchase history, digital interactions, loyalty data, and demographic signals combined in a privacy-compliant profile
Build behavioural segments
AI identifies natural consumer segments based on purchase patterns, preferences, and predicted lifetime value
Activate recommendations
Personalised product, content, and offer recommendations pushed to your CRM and digital marketing platforms
Sources
Based on published findings: McKinsey, 'Personalisation at Scale in CPG', 2024; BCG X, 'Consumer-Centric AI' — reproduced for illustrative purposes
New product development intelligence
Identify white-space opportunities from trend and competitor data.
ROI
Process
Scan market signals
Consumer reviews, social trends, patent filings, and competitive launches analysed across categories and markets
Identify opportunities
AI maps white-space opportunities, emerging needs, and category adjacencies with supporting evidence
Score and prioritise
Innovation concepts ranked by market size, competitive intensity, and fit with your capabilities
Sources
Based on published findings: McKinsey, 'AI-Driven Innovation in CPG', 2024; Deloitte Insights, 'Smart Product Development' — reproduced for illustrative purposes
Sustainability and ESG compliance
Automate Scope 1-3 tracking and ESG disclosure reports.
ROI
Process
Aggregate ESG data
Energy, water, waste, packaging, and supply chain emissions data consolidated from operational systems
Calculate and benchmark
AI computes Scope 1-3 emissions, packaging metrics, and sustainability KPIs against industry benchmarks
Generate disclosures
CSRD, ISSB, and retailer sustainability reports produced with full methodology and audit trails
Sources
Based on published findings: BCG X, 'Sustainable CPG Operations', 2024; McKinsey, 'ESG Data and AI' — reproduced for illustrative purposes
Co-CEO, Royal DSM (now dsm-firmenich)
Geraldine Matchett
"Microsoft Azure AI enables us to sense demand shifts across our nutrition and materials business weeks earlier than traditional forecasting. We are translating POS signals into production adjustments in near real time, which has materially reduced both waste and stockouts across our global supply chain."
Originally published: Microsoft Customer Stories — DSM — reproduced for illustrative purposes
How we work in consumer products environments
CPG AI is only valuable if it connects to the systems where your commercial decisions are made. We start by mapping your POS feeds, ERP, and supply chain platforms, then identify the one use case where AI will create the most immediate, measurable impact on revenue or margin.
Everything we build runs on your cloud tenant. Your POS data, your pricing models, your supply chain intelligence. None of it goes to a third-party platform. Your finance team and auditors can verify every recommendation the system makes.
01
Data and use case mapping
We assess your POS, ERP, and supply chain systems, identify the highest-value AI use case, and map it to your commercial and compliance requirements.
02
30-day proof of concept
A working AI agent on your cloud, connected to your commercial data, with demonstrable output in 30 days.
03
Governance by design
Audit trails, explainable pricing logic, and compliant data handling built in from the start. Ready for finance review.
04
Scale in 12-18 weeks
From one validated commercial workflow to measurable revenue and margin improvement across your portfolio.
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