Case Studies
Proven results in real environments
We measure success by the impact we create. Explore how we've helped organizations across industries transform their operations with AI solutions that deliver measurable outcomes.
Cutting Forecasting Errors by 40% for a National Retailer
A multi-channel retail platform with 200+ locations
The Challenge
The client struggled with inventory management across their retail network. Their legacy forecasting system produced significant errors, leading to stockouts of popular items and overstock of slow-moving products. This resulted in millions in lost sales and carrying costs annually.
Our Solution
We developed a custom regression model incorporating historical sales data, seasonal patterns, promotional calendars, local events, and weather data. The model was deployed as a cloud-based microservice, integrating directly with their existing inventory management system.
Technologies Used
Results & Impact
"Hardcode delivered a solution that immediately impacted our bottom line. Their team understood both the technical requirements and our business constraints."
— VP of Operations
Automating Demand Prediction for a Logistics Leader
A regional logistics company serving Fortune 500 clients
The Challenge
Manual demand forecasting processes were causing inefficient resource allocation. The operations team spent 30+ hours weekly on spreadsheet-based predictions, with accuracy rates below 70%. This led to underutilized capacity and missed delivery windows.
Our Solution
We built a cloud-based ML workflow that ingests data from multiple sources—shipping records, client forecasts, market indicators—and produces daily demand predictions. The system includes automated retraining pipelines and real-time monitoring dashboards.
Technologies Used
Results & Impact
"The automated system has transformed how we plan our operations. We're now proactive instead of reactive, and our clients have noticed the improvement."
— Director of Logistics
Optimizing Customer Interactions with Fine-Tuned LLMs
A Series B fintech startup with 500K+ active users
The Challenge
The client's customer support was overwhelmed with repetitive queries about account management, transactions, and product features. Their generic chatbot solution had low resolution rates and frustrated users, leading to increased support tickets and churn risk.
Our Solution
We fine-tuned a large language model on the client's knowledge base, support transcripts, and product documentation. The resulting chatbot handles complex, multi-turn conversations with domain-specific understanding, escalating to human agents only when necessary.
Technologies Used
Results & Impact
"Our users now get instant, accurate answers to their questions. The chatbot understands context in ways our previous solution never could."
— Head of Customer Experience
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