Consumer Goods​

Agentic AI for Consumer Goods: Regaining growth and control powered by integrated data​

01
Industry context

Consumer Goods operations are changing, and so should your business​

AI moves from experimentation to operational infrastructure, supporting commercial, innovation, and supply chain workflows, in addition to reducing rework, accelerating analysis, and enhancing team efficiency.​

Agents emerge to support commercial workflows, system, teams, and data coordination, data analysis and contextualization, and execution of trade, pricing, and product replenishment tasks.​

Fragmented commercial data, commodity price volatility, the end of growth driven by pricing, and increasing pressure from private labels add to operational complexity.​

The industry is moving away from operating in silos—sales, marketing, RGM (Revenue Growth Management), and supply chain—and toward an integrated model that connects data, decisions, and processes.​

The shopping journey becomes decentralized, with interactions spread across physical shelves, e-commerce, social commerce, retail media networks, and AI assistants.​

02
Industry challenges​

When the industry needs to balance margins, volume recovery, and speed of response to retailers, operating with fragmented systems and manual decisions is no longer sustainable

In this context, the impact goes beyond efficiency, undermining on-shelf availability and the ability to turn fragmented data into fast, reliable decisions.​

Inconsistencies and lack of integration between legacy systems and sell-in, sell-out, inventory, pricing, and product attribute data across channels.​

Excessive commercial time lost to the difficulty of integrating data from diverse sources into cloud platforms, compromising real-time replenishment and RGM decisions.​

Increased exposure to cybersecurity, privacy, and compliance risks (LGPD, labeling, and shrinkflation alerts), directly impacting consumer trust.​

Lack of explainability, traceability, and human oversight in recommendations and purchases executed by agents, creating uncertainty around accountability.​

Difficulty sustaining discoverability as the first point of contact shifts toward conversational assistants, social commerce, and retail media networks.​

03
Agentic AI para Consumer Goods​

Prepare for the future of the industry with AI Agents and unlock new ways to support business growth and operations​

AI/R’s Agentic AI approach connects efficiency and governance with new ways of generating value for your company and your customers.​

Generative Engine Optimization (GEO)​

Make sure your brand and products get recommended by AI assistants, whose responses are crafted after data your business generates—and rarely controls. With GEO, we address lost sales and loss of control in the age of AI.​

  • Product data foundation with AI-powered enrichment and automated publishing across channels​
  • Strategy and execution with semantic structuring of attributes and presence monitoring​
  • Cross-channel coordination to turn the physical shelf into a continuous source of data​

Intelligent Brand Assistant​

Implement an assistant that understands consumers’ needs, recommends products based on their profile, and guides them through the purchase journey, ensuring explanation and approval before any transaction and earning consumer trust.​

  • Product data organization​
  • Traceability and explainability to preserve consumer authorization​
  • Value perception dashboard with early detection of reactions to changes in price and format​

Intelligent Customer Service​

Accelerate consumer service by resolving questions, complaints, tracking and recall issues, and turning service interactions into a market sensor that enables preventive actions.​

  • 24/7 customer service, accelerating response times and freeing human teams to focus on complex cases​
  • Insights into consumer reactions​

B2B Agentic Channel​

Accelerate B2B service with always-on, resolution-focused agents available 24/7 to answer questions about inventory, orders, agreements, and discounts, qualify opportunities, and turn service into sales.​

  • Full availability, escalating to the human team only when necessary​

Field & Negotiation Copilot​

Connect and empower in-store execution and negotiations with retail chains, increasing operational visibility and making negotiations more balanced.​

  • Prioritization of actions by point of sale, with contextual recommendations for assortment and execution​
  • Computer vision for image-based auditing of share of shelf, out-of-stocks, and planogram compliance​
  • Comprehensive sales, pricing, and promotion dossier​
  • Simulation of the impact of each trade-off on volume and margin​
  • Complete transaction visibility for the buyer​

Accelerated R&D and Innovation​

Accelerate the journey from idea to shelf by testing concepts and packaging with consumers through AI-powered simulation before conducting any field research, enabling faster decisions without compromising the budget.​

  • Predictive formulation and concept-testing engine using synthetic personas to accelerate go-to-market​
  • Generation of hypotheses based on sensory profile, health and wellness targets, ingredient costs, and regulatory constraints​
  • Verification of label claims before approval—not after​

Product Traceability & Transparency​

Adapt your operations for an industry where traceability is becoming a requirement, anticipating a shift that turns compliance from a cost into a sales argument.​

  • Connection between supply chain, origin data, and label compliance in a single, auditable layer, transforming transparency from a communications initiative into business infrastructure​
  • Digital product passport with an immutable record of origin and transformation stages​
  • Verification agents for claims and labeling integrated into the packaging and content approval workflow
  • Automated ESG reporting with real-time indicators and non-compliance triggers​​

Product Data Foundation​

Bring everything that describes your products together in one place, continuously updated and automatically published across every channel, with a record of who made each change and what was changed.​

  • Transform product master data into an input that powers search engines, marketplaces, and AI assistants​
  • Product composition, dimensions, images, claims, and content tailored to each channel​
  • Ensure traceability, explainability, and auditability for every recommendation made by agents on behalf of your brand, with human oversight and accountability when needed​
  • Commercial data foundation with automated data cleansing and governance of legacy databases​

Trade Automation & Deductions​

Unify and automate your operations, replacing fragmented spreadsheets with agents that calculate, cross-check, and dispute claims under supervision, delivering rapid returns in an area where loss is already happening.​

  • Commercial control tower with integrated visibility into demand, inventory, and trade execution​
  • Shared services powered by AI agents for deductions, trade funds, and reconciliation with retail chains​
  • Omnichannel coordination with real-time detection of pricing and content discrepancies​

Commercial Intelligence & RGM​

Overcome fragmented reports and processes with a single recommendation and decision layer, powered by predictive and prescriptive AI.​

  • Demand and margin risk anticipation​
  • Optimal action prescription in pricing and promotion​
  • Predictive demand engine by region and channel with early stockout alerts​
  • RGM platform with elasticity modeling and price-pack architecture simulation​
  • Promotion and pricing optimization engine based on elasticity, inventory, and competitive movement
  • Commercial attribution platform with separation of incremental sales in retail media​​

Transform your operation with AI Agents ready to work with efficiency and reliability.​

04
Where we are

Ready to meet you where you are and move you forward.​

GLOBAL FOOTPRINT.​ BORDERLESS PRESENCE.​

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