Transform operations across key focus areas, from inventory and supply chain to retailer management and discovering market opportunities
Leaders trusting our AI solutions:
15+
years helping enterprises
50+
market-ready solutions delivered
40%
of cost savings with component-based development
CPG faces demand volatility, waste, inefficiencies, and consumer insight gaps.
Product innovation
Launching products without actionable consumer and market insights increases the risk of failure.
Collaboration with retailers
Poor data alignment and weak coordination with retailers result in operational inefficiencies.
Accurate demand planning
Faulty demand estimates lead to stock shortages, overstock issues, and missed sales.
Supply chain challenges
Disruptions in shipments or inventory flow hinder production and delivery schedules.
Reducing waste
Overproduction and expired goods contribute to financial losses and environmental harm.
Sustainability goals
Growing demand for lower carbon footprints drives the need for sustainable practices.
Strategic pricing
Limited data hampers the ability to set optimal prices that balance competitiveness and profitability.
Effective marketing
Challenges in tracking campaign ROI and refining ad budgets impact marketing efficiency.
Dynamic pricing
Adjust prices instantly based on demand, competitor actions, and production costs.
Data-sharing platforms
Enhance coordination and streamline inventory with retail partners.
Predictive analytics algorithms
Forecast demand using historical sales, trends, and external variables.
AI-based supply chain optimization
Streamline logistics, routing, and inventory management.
Product lifecycle monitoring
Monitor expiration dates and reduce waste.
Resource usage trackers
Track resource usage to support sustainable initiatives like eco-friendly packaging.
Demand prediction algorithms
Use advanced models to predict consumer demand and minimize overproduction.
Real-time analytics
Gain actionable insights into operations and customer behavior instantly.
Elasticity modeling
Forecast customer reactions to price adjustments.
Data visualization
Create dashboards to highlight market trends and growth opportunities.
Attribution modeling algorithms
Evaluate campaign effectiveness with multi-touch attribution analysis.
Customer segmentation
Group customers by shared attributes for personalized marketing strategies.
Behavioral analytics
Predict purchasing patterns using historical data.
Competitive intelligence
Track competitor pricing and market performance.
Predictive analytics
Identify market shifts, optimize operations, and improve forecasting accuracy.
ETL pipelines
Enable seamless sharing of sales and inventory data across teams.
Harness real-time insights
Build high-performance systems designed for CPG needs, capable of processing vast data from consumer interactions, retail transactions, and supply chain operations.
Manage high data loads
Ensure your platforms handle peak loads seamlessly, from seasonal sales surges to product launches.
Adopt multi-cloud strategies
Architect scalable, cost-efficient multi-cloud solutions to optimize global operations, ensure low latency, and maintain performance during demand spikes.
Hire expert data and AI engineers
Work with seasoned engineers experienced in developing robust CPG systems, ensuring high availability and reliability.
Scale AI for CPG
Implement AI and machine learning models to enhance real-time performance in demand planning, customer segmentation, and supply chain efficiency.
From supply chain optimization to data-driven insights, we design, implement, and maintain next-generation solutions to meet the evolving needs of the CPG sector, including:
Xenoss developers have the skillset and domain knowledge to help various businesses change and adapt to market trends and user expectations.
Xenoss team helped us build a well-balanced tech organization and deliver the MVP within a very short timeline. I particularly appreciate their ability to hire extreme fast and to generate great product ideas and improvements.
Oli Marlow Thomas,
CEO and founder, AdLib
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Machine Learning and automation