We work with partners who want to leverage the value of data

We work with partners who want to leverage the value of data

We work with partners who want to leverage the value of data

Since 2021, clients rely on us to deliver innovative solutions that drive tangible results.

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Get inspired by some of our previous work

Product Description Engine

Generative AI

ML Ops

Computer Vision

Instantly generating product description for >200K products based on product images. The engine allows to tailor descriptions to brands tone and style, specific events, or distinct regional customer persona. Usage of the engine can be extended for hyper-tailored content marketing.

Product Description Engine

Generative AI

ML Ops

Computer Vision

Instantly generating product description for >200K products based on product images. The engine allows to tailor descriptions to brands tone and style, specific events, or distinct regional customer persona. Usage of the engine can be extended for hyper-tailored content marketing.

Product Description Engine

Generative AI

ML Ops

Computer Vision

Instantly generating product description for >200K products based on product images. The engine allows to tailor descriptions to brands tone and style, specific events, or distinct regional customer persona. Usage of the engine can be extended for hyper-tailored content marketing.

Unstructured Data Management

Operations

Generative AI

Data Platform

Several projects with a client dealing with high amounts of unstructured data. Conversion of invoices from multiples types (pdf, docx, …) and multiple languages into a structured format. Extraction/standardisation of contractual details for the HR department into new human-capital management software.

Unstructured Data Management

Operations

Generative AI

Data Platform

Several projects with a client dealing with high amounts of unstructured data. Conversion of invoices from multiples types (pdf, docx, …) and multiple languages into a structured format. Extraction/standardisation of contractual details for the HR department into new human-capital management software.

Unstructured Data Management

Operations

Generative AI

Data Platform

Several projects with a client dealing with high amounts of unstructured data. Conversion of invoices from multiples types (pdf, docx, …) and multiple languages into a structured format. Extraction/standardisation of contractual details for the HR department into new human-capital management software.

Predictive Inventory Management Solution

Data Analytics

Forecasting

Supply Network Planning

For a retailer managing over 50 locations that serve as both stores and warehouses, we developed a predictive inventory solution that transformed their supply chain. By accurately forecasting demand and adjusting stock allocations, the retailer saw a 5% boost in sales from reduced stockouts, a 12% drop in costs through better replenishment, and a 7% increase in margins by minimizing waste.

Predictive Inventory Management Solution

Data Analytics

Forecasting

Supply Network Planning

For a retailer managing over 50 locations that serve as both stores and warehouses, we developed a predictive inventory solution that transformed their supply chain. By accurately forecasting demand and adjusting stock allocations, the retailer saw a 5% boost in sales from reduced stockouts, a 12% drop in costs through better replenishment, and a 7% increase in margins by minimizing waste.

Predictive Inventory Management Solution

Data Analytics

Forecasting

Supply Network Planning

For a retailer managing over 50 locations that serve as both stores and warehouses, we developed a predictive inventory solution that transformed their supply chain. By accurately forecasting demand and adjusting stock allocations, the retailer saw a 5% boost in sales from reduced stockouts, a 12% drop in costs through better replenishment, and a 7% increase in margins by minimizing waste.

Global Forecasting Strategy

Econometrics

Strategy

Forecasting

Partnering with a global client facing complex labor and resource challenges, we created a financial forecasting strategy that streamlined their operations. This solution led to a 9.3% reduction in labor costs, optimized cash flow, and secured better financing, providing the client with stability and confidence in uncertain times.

Global Forecasting Strategy

Econometrics

Strategy

Forecasting

Partnering with a global client facing complex labor and resource challenges, we created a financial forecasting strategy that streamlined their operations. This solution led to a 9.3% reduction in labor costs, optimized cash flow, and secured better financing, providing the client with stability and confidence in uncertain times.

Global Forecasting Strategy

Econometrics

Strategy

Forecasting

Partnering with a global client facing complex labor and resource challenges, we created a financial forecasting strategy that streamlined their operations. This solution led to a 9.3% reduction in labor costs, optimized cash flow, and secured better financing, providing the client with stability and confidence in uncertain times.

Trend Analysis & Demand Forecasting Tool

Planning

Recommendations

Strategy

By analyzing product trends through historical sales, social media, and search data, we helped a client improve stock and assortment planning. This tool led to a ~10% revenue increase and a 2.4% margin boost, aligning their inventory with customer demand and delivering what consumers wanted, when they wanted it.

Trend Analysis & Demand Forecasting Tool

Planning

Recommendations

Strategy

By analyzing product trends through historical sales, social media, and search data, we helped a client improve stock and assortment planning. This tool led to a ~10% revenue increase and a 2.4% margin boost, aligning their inventory with customer demand and delivering what consumers wanted, when they wanted it.

Trend Analysis & Demand Forecasting Tool

Planning

Recommendations

Strategy

By analyzing product trends through historical sales, social media, and search data, we helped a client improve stock and assortment planning. This tool led to a ~10% revenue increase and a 2.4% margin boost, aligning their inventory with customer demand and delivering what consumers wanted, when they wanted it.

Cross-Selling Recommendation Engine

Personalization

Clustering

Machine Learning

For an e-commerce client, we introduced a recommendation engine that personalizes product suggestions on product pages for all shoppers. This feature raised cross-sales and average order values by 7%, creating a more engaging and customized shopping experience that encourages customers to explore and buy more.

Cross-Selling Recommendation Engine

Personalization

Clustering

Machine Learning

For an e-commerce client, we introduced a recommendation engine that personalizes product suggestions on product pages for all shoppers. This feature raised cross-sales and average order values by 7%, creating a more engaging and customized shopping experience that encourages customers to explore and buy more.

Cross-Selling Recommendation Engine

Personalization

Clustering

Machine Learning

For an e-commerce client, we introduced a recommendation engine that personalizes product suggestions on product pages for all shoppers. This feature raised cross-sales and average order values by 7%, creating a more engaging and customized shopping experience that encourages customers to explore and buy more.

Targeted Tip Optimization Algorithm

Behavioral Modeling

Econometrics

ML Ops

For a nonprofit platform, we developed a ‘tip suggestion’ algorithm that encourages contributions at key moments. This led to a 6.5% increase in revenue, giving the organization more support to advance its mission and help those it serves.

Targeted Tip Optimization Algorithm

Behavioral Modeling

Econometrics

ML Ops

For a nonprofit platform, we developed a ‘tip suggestion’ algorithm that encourages contributions at key moments. This led to a 6.5% increase in revenue, giving the organization more support to advance its mission and help those it serves.

Targeted Tip Optimization Algorithm

Behavioral Modeling

Econometrics

ML Ops

For a nonprofit platform, we developed a ‘tip suggestion’ algorithm that encourages contributions at key moments. This led to a 6.5% increase in revenue, giving the organization more support to advance its mission and help those it serves.

Hyper-Personalized Recommendation System

Recommendations

Clustering

ML Ops

Collaborating with an online retailer, we built a recommendation system that personalizes product suggestions based on each customer’s behavior. This approach boosted email marketing conversions by 24%, increasing engagement and fostering stronger connections with each customer.

Hyper-Personalized Recommendation System

Recommendations

Clustering

ML Ops

Collaborating with an online retailer, we built a recommendation system that personalizes product suggestions based on each customer’s behavior. This approach boosted email marketing conversions by 24%, increasing engagement and fostering stronger connections with each customer.

Hyper-Personalized Recommendation System

Recommendations

Clustering

ML Ops

Collaborating with an online retailer, we built a recommendation system that personalizes product suggestions based on each customer’s behavior. This approach boosted email marketing conversions by 24%, increasing engagement and fostering stronger connections with each customer.

Smart Pricing Engine

Data Scrapping

Machine Learning

Econometrics

For a client in a competitive market, we designed a pricing engine that dynamically adjusts prices based on competitor and perfomrance data. This approach drove a 10.6% increase in revenue by attracting price-sensitive customers and optimizing profits on high-demand items.

Smart Pricing Engine

Data Scrapping

Machine Learning

Econometrics

For a client in a competitive market, we designed a pricing engine that dynamically adjusts prices based on competitor and perfomrance data. This approach drove a 10.6% increase in revenue by attracting price-sensitive customers and optimizing profits on high-demand items.

Smart Pricing Engine

Data Scrapping

Machine Learning

Econometrics

For a client in a competitive market, we designed a pricing engine that dynamically adjusts prices based on competitor and perfomrance data. This approach drove a 10.6% increase in revenue by attracting price-sensitive customers and optimizing profits on high-demand items.

Automated Discount Tool

Forecasting

Machine Learning

ML Ops

Data Platform

To help clients maximize sales during promotions, we created an automated discount tool that balances markdowns with inventory demand. It reduced unsold stock by 5% and improved margins by 2%, ensuring that sales events were both profitable and efficient.

Automated Discount Tool

Forecasting

Machine Learning

ML Ops

Data Platform

To help clients maximize sales during promotions, we created an automated discount tool that balances markdowns with inventory demand. It reduced unsold stock by 5% and improved margins by 2%, ensuring that sales events were both profitable and efficient.

Automated Discount Tool

Forecasting

Machine Learning

ML Ops

Data Platform

To help clients maximize sales during promotions, we created an automated discount tool that balances markdowns with inventory demand. It reduced unsold stock by 5% and improved margins by 2%, ensuring that sales events were both profitable and efficient.

Dynamic Loyalty Rewards System

Strategy

Data Analytics

Clustering

Working with a retailer aiming to strengthen customer relationships, we launched a multi-tier loyalty system that rewards frequent shoppers with increasing benefits. This system is projected to raise customer lifetime value by 14% over the next year, helping build a loyal customer base.

Dynamic Loyalty Rewards System

Strategy

Data Analytics

Clustering

Working with a retailer aiming to strengthen customer relationships, we launched a multi-tier loyalty system that rewards frequent shoppers with increasing benefits. This system is projected to raise customer lifetime value by 14% over the next year, helping build a loyal customer base.

Dynamic Loyalty Rewards System

Strategy

Data Analytics

Clustering

Working with a retailer aiming to strengthen customer relationships, we launched a multi-tier loyalty system that rewards frequent shoppers with increasing benefits. This system is projected to raise customer lifetime value by 14% over the next year, helping build a loyal customer base.

This list isn't exhaustive. We'd love to hear about your ambitions.

This list isn't exhaustive. We'd love to hear about your ambitions.

This list isn't exhaustive. We'd love to hear about your ambitions.