Lyght Living, a German furniture rental company, was preparing for a potential sale but lacked the critical data insights needed to maximize its valuation.
By using Tableau and machine learning, the company gained a clear understanding of customer segments and product demand, leading to a 36% increase in company valuation.
The company didn’t know which customer groups generated the most value.
Marketing efforts were broad and lacked precision.
They had no clear data on which furniture styles were in highest demand.
Inventory was not aligned with customer preferences.
They lacked insights to prioritize high-margin products and boost profitability.
This made it harder to position the company for a strong sale.
Segmented Customers into Three Groups - Residential renters, event planners, and office managers.
Identified High-Demand Products - Modern, minimalist furniture emerged as the top-selling style across all customer segments.
Optimized Marketing & Inventory Strategies - Focused promotions and inventory on high-demand product lines to boost ROI.
📈 36% Increase in Company Valuation - A stronger financial profile ahead of the sale process.
💰 15% Increase in Gross Margins - By prioritizing modern, minimalist furniture, Lyght Living achieved a 15% boost in gross margins over a 6-month period.
🔄 40% Customer Retention Rate - Residential renters became a consistent driver of repeat business.
💡 They went from reporting nightmares to automated insights. See how they did it—download the case study collection now!
Leverage data analytics to identify customer segments and optimize inventory.
Use business intelligence tools like Tableau to improve marketing and sales strategies.
Increase profitability and company valuation through smarter, data-driven decisions.
Attract high-value buyers during M&A or investment rounds.
Can I apply this solution to my business?
Yes, if your business relies on customer segmentation, inventory management, or preparing for a sale, this data-driven approach is highly adaptable.
How long does it take to implement a solution like this?
Most businesses can implement similar Tableau and machine learning solutions in 4-6 weeks, depending on data availability and team expertise.
Do I need special skills to leverage Tableau and machine learning?
While some technical skills are helpful, many businesses work with data experts or consultants to streamline implementation.
What kind of insights can I expect to gain?
You can uncover top customer segments, high-demand products, and actionable strategies to improve both profitability and business valuation.
Is this approach only for companies preparing for a sale?
No, this solution benefits any business looking to improve operations, customer retention, and overall profitability.