Operationalizing AI for the Future of CPG

Empower smarter, faster, and sustainable decisions by putting consumers, data, and intelligence at the core of your operations.

Accelerate CPG Growth with AI-Driven Precision

The shift is palpable.

AI and analytics in the CPG industry are evolving from isolated transformation initiatives to core strategic enablers. They now underpin organizational capabilities, driving smarter decisions, faster execution, and sustained competitive advantage.

Straive is leading this change. We are enabling consumer packaged goods brands to move from reactive operations to predictive, insight-led decision-making – by providing end-to-end analytics services for the CPG industry. We blend CPG domain knowledge with AI, data engineering, and automation, empowering CXOs with intelligent consumer goods solutions and CPG services that drive speed, precision, and market responsiveness.

Common CPG Challenges. Extraordinary Solutions.

Collaborative Supply Planning
Enable seamless planning with co-manufacturers and suppliers to reduce lead times
Supply Network Resilience
Identify and mitigate supply chain bottlenecks across multi-tier suppliers to ensure cost control, continuity, and compliance
Fraud Detection and Prevention
Using analytics to detect and prevent fraudulent activities in the supply chain and sales channels

Automated Data Curation for Product Intelligence
Clean, standardize, and enrich product-level data from multiple sources automatically
Sustainability Intelligence
Use AI to monitor carbon, water, and waste metrics across the product lifecycle
Smart Portfolio Optimization
Leverage AI to identify winning SKUs and rationalize underperforming products
Product lifecycle management
Tracking product performance over time to identify opportunities for improvement or discontinuation

Intelligent Production Planning
Align production runs with consumer demand to reduce waste and improve service levels
AI-Based Quality Inspection
Use computer vision to detect defects in packaging and products at scale in manufacturing
Sustainable Manufacturing
Track and reduce emissions, energy, and water usage across production facilities

Demand Forecasting & Supply Chain Planning
Predict market trends and align production to real-time demand with AI-powered models by integrating POS, social, and macroeconomic signals
Optimized Inventory Deployment
Balance stock across DCs and retailers to reduce carrying costs and prevent stockouts
Smart Logistics Orchestration
Optimize freight, lanes, and delivery modes to reduce costs and carbon impact
Autonomous Route Optimization
Dynamically plan delivery routes based on traffic, volume, and cost constraints

Sentiment analysis
Analyzing customer feedback from social media, reviews, and surveys to understand customer perceptions and address concerns
Marketing campaign analysis
Evaluating the effectiveness of marketing campaigns based on key metrics like conversion rates, customer acquisition cost, and return on investment
Social listening
Monitoring social media conversations to understand consumer sentiment and identify emerging trends
Revenue Growth Management
Use AI to optimize pricing, promotions, and pack mix for margin expansion across channels

Personalized Consumer Engagement
Use AI to tailor messaging, offers, and content at scale based on behavioral insights
Personalized recommendations
Providing tailored product recommendations to customers based on their past purchases, browsing history, and preferences