Fit your store experience to your customer

Leverage your in-store and online data, enriched by external data, to better understand your customer and build the retail experience around their demands

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Assortment efficiency

Make better purchasing and delisting decisions to ensure your customers are purchasing their desired items in your store, not a competitors

Basket size

Optimize promotions, discounts and product positions to increase cross-selling and drive customers towards higher price products

Margin

Determine the optimal discount amount to maximize demand and revenue with the minimum impact on your profit margin

Understand and fulfil your customers' changing demands

The retail industry is facing an increasingly competitive market with supply far exceeding customer demand. As a result, differentiation through top-notch customer experience is essential for both incumbents and challengers to defend and improve their market position.

In parallel, the advent of in-store sensors and smart recording devices adds to an already rich and diverse data ecosystem. Historical data, combined with new and exciting data sources, makes the retail industry an ideal candidate to push ahead with data science, machine learning and AI. However, many of the largest players in the retail industry are lagging behind and, as a result, the understanding they have of their customers remains somewhat limited.

Using your data to understand your customers’ volatile and evolving demands is key. Turning that understanding into everyday action to provide an optimal in-store and online customer journey will make you industry-leading.

Our use cases at Contiamo

Promotion & Proximity Optimization

Leverage historical data on customer purchases and in-store product coordinates. Identify whether products are frequently bought together due to promotions, proximity of product similarities. Compare data from across stores and online to make recommendations to increase proximity or promotions between products.

Assortment Optimization

Analyze purchase history, product inventory and shelf population data to determine the walk rate per SKU. With the understanding of potential lost purchases as a result of delisting specific items, combined with the shelf-cost of listing said items, store managers are empowered to make better assortment decisions.

Intelligent Inventory Management

Spot short- and long-term demand trends from real-time online order and in-store purchase data. Using machine learning to gain a greater understanding of demand seasonality and historical inventory mistakes. Leverage the models to implement and alert system for purchasing managers to order the optimal levels of inventory.

Want to find out more?

We are working with major retailers, enabling them to optimize their online, in-store and warehouse operations. Schedule a demo to find out about how Contiamo can leverage your data to drive better decisions.

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