Reimagining retail.
Stay ahead of the competition by understanding and meeting customer demands before your competitors do.
Retail Reimagined With AI
As the market becomes more competitive and consumers become more informed, brands no longer dictate trends. The businesses that succeed are the ones that act fast and meet customer demands ahead of the competition.
Opportunity Assessment
We highlight the best ways to grow, allowing you to build a strong foundation for your company, one that is based on data and proven by current trends. We thoroughly assess your business challenges and objectives, current processes, system configurations, and data quality so you can optimize your merchandising and supply chain operations and maximize profitability.
Optimization
Using analytic solutions to optimize your forecasting, replenishment, or allocation processes can be very complex and overwhelming without the right talent or resources. Whether you're considering a custom or off-the-shelf analytic solution or are currently using one, we've got you covered. We examine your system configurations, refresh and tune system parameters, and educate your user community to ensure you achieve your goals.
Advanced AI Systems
We harness the power of cutting-edge artificial intelligence (AI) to analyze large volumes of data and combine them with machine learning (ML) algorithms to enable optimal decision automation. By leveraging leading-edge technologies, we provide our retail clients with timely and actionable data-driven insights.
The RetSci Way
We harness the power of analytics so our clients can answer questions across various retail functions:
- What’s the right product mix?
- Which products will appeal to my customers?
- What attributes are essential?
- How much should I buy?
- How can I optimize my size profiles and pack configurations?
- How much floor space do I need for a category? A department?
- How much shelf space does this product need?
- Where on the shelf should it go?
- How does product placement impact sales?
- Does my customer shop online or in-store?
- How does the price of an item impact sales?
- How does an item’s price affect other items?
- When should I start markdowns?
- How much should I reduce the price of an item?
- How much safety stock should I have on hand?
- How often should I replenish?
- What’s the optimal size mix for each store?
- How should I stock for upcoming promotions?
- What’s the best omnichannel fulfillment strategy?
- Are my fulfillment algorithms and replenishment practices aligned?
- Am I efficiently fulfilling customer orders?
- How should I anticipate e-commerce demand during the holidays?
- Should I route demand to satellite stores?
- Should I anticipate demand as close as possible to the customer?