AI & Machine Learning Solutions

Turn Your Data Into Competitive Advantage

We help businesses harness AI and machine learning to automate decisions, predict outcomes, and unlock insights hidden in your data.

Explore AI Solutions
AI wolf representing machine learning solutions

The Challenge

Freshly Picked Grocers

Freshly Picked is a regional grocery chain with 28 stores across the midwest. They were drowning in two problems: food waste from overstocking perishables, and lost sales from stockouts on popular items. Their buying decisions relied on store managers' intuition and last year's sales data.

They had accumulated five years of point-of-sale data, supplier information, and local event calendars, but lacked the expertise to turn this data into actionable predictions. Previous attempts with off-the-shelf forecasting tools failed to account for their unique regional patterns and supplier constraints.

$180KAnnual food waste
15%Sales lost to stockouts
5 yearsOf untapped data

Our Approach

1

Data Audit & Preparation

We assessed data quality, identified gaps, and built a unified data pipeline connecting POS, inventory, weather, and local events into a single source of truth.

2

Model Development

Built custom demand forecasting models for each product category, accounting for seasonality, promotions, weather impact, and local events like sports games.

3

Integration & Testing

Integrated predictions directly into their ordering system with clear confidence intervals. Ran a 3-store pilot to validate accuracy before full rollout.

4

Continuous Learning

Implemented automated model retraining to improve accuracy over time. Built dashboards so buyers understand why the system makes specific recommendations.

The Outcome

32%Reduction in Food WasteBetter demand predictions mean less spoilage on perishables across all stores
45%Fewer StockoutsAutomated reorder suggestions keep shelves stocked with high-demand items
91%Forecast AccuracyCustom models outperform generic tools by understanding local buying patterns

Technologies We Used

PythonTensorFlowPyTorchscikit-learnAWS SageMakerOpenAILangChainPandas

Frequently Asked Questions

Do we need a lot of data to get started with AI?

Not necessarily. While more data generally means better models, we've built effective solutions with surprisingly small datasets. We'll assess what you have and recommend whether to proceed, collect more data, or use alternative approaches.

How do you handle sensitive or private data?

Data security is paramount. We can work entirely within your infrastructure, use anonymization techniques, or implement differential privacy. We never use client data for anything other than your specific project.

What's the difference between AI and ML?

Machine Learning is a subset of AI focused on learning from data. AI is broader and includes rule-based systems, optimization, and more. We use whichever approach solves your problem most effectively, not just what sounds impressive.

Can AI integrate with our existing systems?

Absolutely. We design AI solutions to work with your current tools and workflows. Whether that's embedding predictions into your CRM, ERP, or custom dashboards, we ensure the insights reach the people who need them.

Ready to Put Your Data to Work?

Let's explore what AI can do for your business. We'll give you an honest assessment of what's possible and what's hype.

Schedule a Data Assessment