How Furniture Manufacturing ERP Uses Real-Time Data Insights to Inlay Real Results

Enhancing the customer experience

The digital explosion of the 2020s has redefined the customer journey. In the increasingly connected world of today, customer loyalty must be earned through dynamic interactions. Giving mistimed or inaccurate information can be a devastating blow to your customers’ impression and reputation of your brand. ERP for furniture and fittings manufacturers circumvents this scenario with real-time data reporting that lets you see what is available at the moment of sale.

With furniture ERP solutions focused on real-time data collection, your teams can use the most up-to-date information about in-house operations, shipping capabilities, inventory levels, delivery times, and customer profiles. This informs and empowers your salespeople to use tailored predictive lead scoring to prioritise prospects they’ll most likely win and allows customer service employees to give clients improved engagements.

Additionally, Dynamics 365 comes equipped with the most essential strategic tool; a Customer-Relationship Management (CRM) Application. Dynamics 365 Sales, the CRM module, comes with strategic technological features such as dashboards, contextual charts, and graphs to track individuals and their actions, getting relevant, targeted, and vital data insights on customers in real-time. It can detect, collect, and deliver real-time data on customer histories, purchasing habits, or past transactional interactions.

The furniture ERP system then seamlessly leverages and integrates these high-powered analytics to drive reports that address the target goals you need to hit like popular products that need moving, promotions that need pushing, seasonal patterns, spending habits, or forecasted demand that needs matching. Our ERP for furniture manufacturing spots emerging client needs in real-time and uses AI to give instant feedback on every step of the customer journey from a single location, all to ultimately grow your bottom line and customers' happiness.

Combat Department Siloing

Discrepancies and inconsistencies in the data you transmit between departments operating as siloes can be a major detriment to productivity and efficiency. In the increasingly competitive digital landscape, you’ll need efficient ways of sharing key data between departments in record time. With furniture ERP solutions, you get the tools of predictive analytics and real-time data to create a truly centralised sense of cohesion across every department.

Real-time data in ERP solutions for furniture keeps everyone on the same page on what is working smoothly, what areas need improvement, and what process will have a hefty impact on future production and ROI. With real-time on-hand actionable reports, everybody gets high-value data insights to create a more productive furniture manufacturing enterprise that better evaluates sales metrics, automates profit tracking, and immediately deals with emerging threats to profit margins.

Uncover Patterns and Eradicate Redundancies

Real-time data insights can digitally transform how you shed light on patterns such as purchase habits, seasonal variations, and other critical information that can upscale certain products, their associated bill of materials (BOM), assembly instructions, and their variations.

ERP for furniture manufacturers accounts for product variations by interlinking all databases between employees, letting them spot pre-existing data entries before they make a mistake - cutting out wasting time on fixing redundant data entries. Should redundancies occur, our ERP for furniture manufacturers flags it, sending a notification to your dashboard to let you know it has been removed.

Thanks to the robust BI and interconnected reporting and tracking capabilities of the Syscom 365 Furniture app and Dynamics 365 solution, you can ensure your infrastructure is equipped to handle shifting functionalities and workflows to maintain sustainable revenue growth.

Real-time data insights can allow your furniture organisation to take operations and products to the next level and breed better and more proactive business decisions with big data.