Predictive AI for Inventory Forecasting
DemandGrid AI helps FMCG distributors, wholesale buyers, and retail supply chain managers eliminate stockouts, reduce deadstock, and automate ordering with AI-powered demand forecasting.
The Problem
Fragmented supply chains cost businesses millions every year.
FMCG distributors and retailers lose revenue daily to stockouts, overstocking, and unpredictable product spoilage. Manual ordering processes burn capital, reduce margins, and leave distribution teams overwhelmed.
Stockouts
Lost sales from products unavailable when customers need them
Overstocking
Capital tied up in excess inventory that moves slowly
Product Spoilage
Perishable goods expiring before they reach the shelf
Manual Ordering
Hours wasted on spreadsheets and guesswork every week
Why Now?
Supply chains remain fragmented across Africa, causing price instability, poor visibility, and delivery delays. As more businesses digitize their operations, there is a growing need for AI-powered infrastructure to reduce waste, improve forecasting accuracy, and optimize distribution. DemandGrid AI fills this gap with predictive technology purpose-built for the challenges of emerging market supply chains.
The Solution
AI that learns your supply chain and predicts what you need before you know you need it.
DemandGrid AI analyzes your historical transaction data, seasonal patterns, and distribution network to deliver accurate demand forecasts, automated reorder triggers, and spoilage risk alerts.
Explore Features →AI Technology
Built on advanced machine learning and accelerated computing.
Our AI engine combines time-series forecasting models with graph neural networks to understand complex supply chain dynamics across thousands of SKUs simultaneously.
Time-Series Forecasting
LSTM and Prophet models analyze historical sales data to predict future demand patterns with high accuracy.
Graph Neural Networks
Maps relationships between products, suppliers, and distribution nodes to identify cascade risks and optimize routing.
NVIDIA RAPIDS Acceleration
GPU-accelerated tabular data processing enables real-time analysis across millions of transaction records.
Automated Anomaly Detection
Identifies unusual demand spikes, supply disruptions, and spoilage patterns before they impact your bottom line.
What data does the AI use?
Historical transaction records, POS data, seasonal patterns, supplier lead times, product shelf life, and distribution network topology.
Product Features
Everything you need to take control of your supply chain.
Demand Forecasting
AI-powered predictions for every SKU across your entire distribution network.
Spoilage Prediction
Proactive alerts for products approaching expiration risk based on sales velocity.
Automated Ordering
Smart reorder triggers that eliminate manual ordering and reduce human error.
Supply Chain Mapping
Visualize your entire distribution network and identify bottlenecks and risks.
Real-Time Alerts
Instant notifications for demand spikes, supply disruptions, and critical inventory levels.
Distribution Optimization
Route and allocation suggestions to minimize spoilage and maximize product availability.
How It Works
From data to decisions in four simple steps.
Connect Your Data
Integrate with your existing ERP, POS, or inventory management system in minutes.
AI Analyzes Patterns
Our models process your historical transactions, seasonal trends, and supply chain topology.
Receive Forecasts
Get actionable demand forecasts, reorder recommendations, and spoilage risk scores.
Automate & Optimize
Set automated reorder rules and let the AI continuously improve its predictions.
Technology & Infrastructure
A multi-cloud, NVIDIA-accelerated stack built for real-time supply chain intelligence.
Data Layer
Ingest, store, and transform supply chain data
ML & AI Layer
Train, deploy, and serve forecasting models
Cloud Layer
Multi-cloud: GCP, Azure, AWS
GPU Layer
NVIDIA CUDA & RAPIDS acceleration
Google Cloud Platform
Our cloud backbone provides scalable data warehousing, serverless compute, and real-time event processing across global regions.
Serverless data warehouse for analyzing billions of SKU-level transactions in seconds
End-to-end ML platform for training, tuning, and deploying forecasting models
Serverless containers powering our API endpoints and data ingestion services
Real-time event streaming for supply chain alerts, reorder triggers, and anomaly detection
Scalable data lake for raw transaction archives, model artifacts, and training datasets
Microsoft Azure
Enterprise-grade Azure services power our data warehousing, NoSQL storage, and container orchestration.
Managed relational database for structured transaction processing and enterprise data warehousing
Globally distributed NoSQL database for real-time inventory state and low-latency queries
Orchestrated container platform for scaling AI inference and microservice deployments
AWS Cloud
Scalable object storage and managed relational databases for historical transaction processing.
Durable object storage for raw transaction archives, model artifacts, and training datasets
Managed relational database for enterprise data warehousing and structured inventory records
ML & Data Pipeline
An open-source-first approach to machine learning, giving us full control over model development and deployment.
Distributed data processing engine for large-scale feature engineering across millions of SKUs
Deep learning framework for building time-series forecasting and graph neural network models
Experiment tracking, model registry, and reproducible ML lifecycle management
High-throughput event streaming for real-time inventory updates and supply chain signals
SQL-based data transformation layer for clean, tested, and documented data pipelines
NVIDIA GPU Acceleration
CUDA-accelerated data pipelines powered by NVIDIA RAPIDS enable real-time inference across millions of supply chain signals, reducing forecast latency from hours to seconds.
Google Cloud
Microsoft Azure
Amazon Web Services
Kubernetes
Docker
Apache Spark
PyTorch
MLflow
Kafka
NVIDIA
Google Cloud
Microsoft Azure
Amazon Web Services
Kubernetes
Docker
Apache Spark
PyTorch
MLflow
Kafka
NVIDIA
Market Opportunity
Targeting a massive, underserved market.
FMCG distributors, wholesale buyers, retail supply chain managers
Nigeria, Ghana, Kenya, South Africa
SaaS subscription, enterprise plans, per-SKU pricing
Expand to pan-African distribution networks by Phase 6
Traction & MVP Status
Early progress, clear milestones.
MVP in development. Beta access opening soon for selected supply chain teams.
Roadmap
A clear path from MVP to market scale.
MVP Development
Core time-series forecasting engine with basic dashboard
Beta Testing
Closed beta with early distribution partners
AI Enhancement
Graph neural network integration for supply chain mapping
Multi-Cloud Deployment
Azure SQL, Cosmos DB, and AKS alongside GCP and AWS infrastructure
ML Pipeline Scale-Out
Apache Spark and MLflow integration for distributed model training at scale
Market Expansion
Pan-African distribution network coverage
Team
Built by supply chain and AI experts.
Umeh Winifred Chiemelie
Founder & CEO
Supply chain and product strategy background. Building AI-powered solutions for African distribution challenges.
Kwame Mensah
Chief Technology Officer
AI engineer with expertise in time-series forecasting, machine learning infrastructure, and multi-cloud systems.
Ready to Transform Your Supply Chain?
Join the beta and get early access to AI-powered demand forecasting.
No 1 Divine Close, Woji, Port Harcourt, Rivers State
Mon - Fri: 9:00 AM - 6:00 PM (WAT)