MegaGroup is a European technical wholesaler specializing in water solutions such as pipes, couplings, pumps, filters, and measuring equipment. With more than 300 employees and 10 sales offices, they serve over 20,000 customers across sectors like agriculture, industry, and building services. MegaGroup prioritizes sustainable energy and efficient water solutions, supported by their energy-efficient distribution centers in the Netherlands and Poland. They focus on partnerships with installers, OEMs, and resellers to deliver high-quality products, excellent customer service, and innovative solutions that save time, money, and water.
- Not Utilising Data | Lacking having a data format ready in a structured way
MegaGroup had access to an incredible amount of data, but far too little was done with it. Whilst the data was there, working with it efficiently was rather difficult, as the data was collected within many spreadsheets, across multiple departments and people. Before anything else, there was a dire need for a logical structure of the data. Appreciating its great potential, we wanted to implement Data Science in their process. We knew the positive impact that Data Science can have on a company’s business processes and profitability, so we came into contact with SYMSON.
- Outdated Price Lists Across 10 Sales Offices and different Countries
Our price lists for several countries and 10 different sales offices were outdated and inconsistent. We lacked a structured process to help each office generate accurate price lists tailored to their enterprise customers and target groups.
- Not Utilizing Elasticity and Algorithms for Smart Price Recommendations and Optimization
We lacked the necessary insights into price elasticity to effectively use AI and algorithms for smarter price recommendations. This prevented us from adjusting prices dynamically or optimizing based on real-time market data, which had a negative impact on our profitability. Without these insights and tools, we were limited in our ability to increase margins and improve profitability. We missed opportunities to fine-tune our pricing strategies and make data-driven decisions that could have driven better financial outcomes.
- Lost Margins Due to Lack of Centralised Pricing
Without a clear and centralised pricing system, we struggled with inconsistent margins. The absence of a streamlined pricing process led to inefficiencies and missed revenue opportunities.
- Manual Processes Slowed Us Down
While we had data, it was scattered across various spreadsheets, making it difficult to work with efficiently. Our manual processes for price updates were time-consuming and prevented us from optimising prices effectively, causing errors and inefficiencies across different regions and customer price lists.
- Wanted to Use Data for Better Decisions
We recognised the potential of a data-driven approach but didn’t know how to implement it. We needed a way to integrate Data Science into our pricing process to drive better business decisions and profitability.
- Desire to Implement AI but Lacked the Tools
We knew AI and algorithms could help with dynamic pricing, but we weren’t ready. We lacked the tools to leverage AI for smart price recommendations, which limited our ability to adjust pricing in real-time and impacted our profitability.
MegaGroup chose SYMSON because they needed a solution to effectively harness their vast amounts of data, which was scattered across spreadsheets and departments. They sought to centralize and streamline their pricing processes, which had led to outdated price lists, inconsistent margins, and inefficiencies across multiple countries and sales offices. SYMSON provided the tools to implement data-driven pricing strategies, optimize margins, and introduce AI for smarter, dynamic pricing. Ultimately, SYMSON helped MegaGroup transition from manual processes to a more efficient, profitable system.
SYMSON was able to help MegaGroup with key pricing process improvements such as:
- Data Structure helped us work efficiently
Our pricing software organised our scattered data into a structured format, making it easy to work with. This allowed us to leverage our vast data effectively and implement data-driven decisions that improved business processes and profitability.
- Improved Margins through KVI Strategy
As a result, our pricing manager was able to get insights into the optimal price on Key Value Items and Additional Products. This resulted in more competitive prices on KVI's and improved margins on Additional Products.
- Price Elasticity Insights boosted our Margins
We gained valuable insights into price elasticity, allowing us to adjust prices based on real-time data. This increased our margins and profitability by optimising our pricing strategies to better reflect market conditions.
- Updated Price Lists led to better Accuracy Across Offices
The software helped us standardise and update price lists for all countries and sales offices. This gave each office accurate, well-tailored price lists for their target groups, leading to more consistent pricing across the board.
- Centralised Pricing improved our Margins
By implementing a centralised pricing system, we eliminated inconsistencies and inefficiencies. This resulted in more stable margins and helped us capture previously missed revenue opportunities.
- Automation Saved Time and reduced Errors
The manual work that used to slow us down was automated, cutting down on time-consuming processes. With fewer errors and streamlined price updates, we were able to respond faster to market changes and improve efficiency.
- Data-Driven Decisions Improved Profitability
With better access to data and the ability to implement Data Science, we made smarter, data-driven pricing decisions. This helped us drive more informed business strategies and improve profitability across regions.
- AI Tools Helped Us Optimise Pricing in Real-Time
Once we integrated AI, we were able to make smarter price recommendations and adjust prices dynamically. This allowed us to optimise pricing in real-time, improving our competitiveness and boosting our overall profitability.
MegaGroup Today
MegaGroup has visibility and transparency across their sales channels and regions and able to use insights and analyse this data. They now have a learning loop, which means they are constantly improving through deeper understanding of customer behaviour, data transparency and changing markets conditions. They enhanced brand recognition and value in the electronics market.
Do you want a free demo to try how SYMSON can help your business with margin improvement or pricing management? Do you want to learn more? Schedule a call with a consultant and book a 20 minute brainstorm session!