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Home: From manual classification to AI-based forecast model across 180 stores.

Objective AI-based forecast model for sales lead classification across 180 stores for Home

Client

Home

Industry

Retail

Services

Data Science, Forecast

Technology

SQL

Challenge

To prioritize sales efforts Home introduced a manual classification of individual sales leads: Green meant the lead didn't require much effort to secure a sale, while Yellow & Red expressed needs for greater levels of engagement. Since the classification was based on subjective criteria, there was a lack of consistency in the methodology across the 180 stores, and the task was only done by every third employee. This made overview and comparability impossible, which complicated prioritization in individual stores, and made it difficult for Home HQ to provide support.

Solution

A forecast model was established that classified current sales leads based on available data. This made it easier to prioritize sales efforts in individual stores without the need for manual tasks. The logic behind the model was made clear to employees, which was crucial for building trust in the classifications.

Result

In addition to saving manual workflows in the stores, objective and consistent classifications give headquarters better conditions to actively offer help if the level of Red cases becomes too high.

This is good for everyone at Home – for management, franchisees, employees, and customers.

- Hans Henrik Buchreitz, HOME

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We have worked across a wide range of industries and functions - and we use that experience to create solutions tailored precisely to you. That's how we work. Every time.

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Good decisions start with insight. And that doesn't come by itself. Data must be found, quality assured, organized, transferred, modeled, reported, disseminated, understood, interpreted and thus create insight. That is the craft we are passionate about.

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Data Science

The analysis enabled us to dive into segments with low market share and create targeted strategies for customers with untapped potential. The analysis can be implemented across markets and industries.

Henrik Løvig, CEO at BoligPortal
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Data Science

Forecasting

It becomes a win-win all around at Home – for management, franchisees, employees, and customers.

Hans Henrik Buchreitz, HOME
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Data Science

The opportunity to collaborate on-site made a big difference. The close dialogue, ongoing sparring and development fits well with JYSK.

Anders Sylvest, Director, Controlling & Loss Prevention, Finance Nordic at JYSK
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BI Reporting

Customer Insight

Customer insights have now become so easily accessible that users in the business have become more self-sufficient. Customer measurements have now gained high priority with us.

Carsten Wiberg, Customer Insight Manager at Norlys
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BI Reporting

The collaboration has been characterized by a direct and informal dialogue as well as effective execution. Given that two of our core values are Simplicity & Action, it has been a great match.

Michael Traberg, Digitalization Director at Vestjysk Bank
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All businesses are different

Different businesses require different solutions. We are used to that. From Danish retail companies to global brands, we have developed solutions that convert data into overview, insight and action opportunities.