## 4 The Implementation of Trends and Results
\begin{table}
\begin{tabular}{c c c c} \hline \hline \(Z_{\rm S}\) & \multicolumn{2}{c}{**Critical Value**} & **Significance Level** \\ \hline
2.0906 & \(>\) & 1.6449 & at 10\% significance level \\
2.0906 & \(>\) & 1.9600 & at 10\% significance level \\
2.0906 & \(<\) & 2.5758 & at 10\% not significance level \\ \hline \hline \end{tabular}
\end{table} 
Table 4: \(Z_{\rm S}\) values at 10%, 05% and 1% significance level—product C. \begin{table}
\begin{tabular}{c c c c c} \hline \hline \multirow{2}{*}{**Model**} & **Sum of Squared Error** & **Mean Squared Errror** & \multirow{2}{*}{**Significance**} & **AIC/BIC** \\  & **(SSE)** & **(MSE)** & & \\ \hline Linear & 6334.4830 & 105.5747 & 0.0000 & 453.81/457.99 \\ Nonlinear & 659.7190 & 10.9953 & 0.0000 & 320.09/326.37 \\ Gompertz & 534.4357 & 9.0573 & 0.0000 & 308.46/314.74 \\ \hline \hline \end{tabular}
\end{table} 
Table 3: Model summary—product C.  
Figure 9: Nonlinear sales trend for product C.  
between the predicted values and the actual values of sales of product C. Sales of product C are described as follows:  
* In the first, i.e., growth phase, it is possible to see increasing sales of product C, which is related to increasing demand. There is only one value outside the prediction interval, namely \(t=1\) (January 2020), when 2.835 pieces of products were sold. * In the saturation phase \(t=29\) (May 2022), sales of product C reached a peak. At the peak, 8 125 pieces were sold. * At time \(30<t<60\), a slight decrease can be seen, but the values oscillate around the predicted sales curve of product C.  
From Figure 10, it is possible to see stable sales of product C until December 2024. In the case of the examined product sales, a matching strategy has been applied, ensuring a steady and balanced implementation of sales for product A. From a strategic perspective, expanding sales into new markets presents a viable opportunity for growth. Additionally, strategic investments in product innovation could prove beneficial, potentially increasing demand and further boosting sales of product A. Conversely, a significantly negative sales trend is observed for product B, with a sharp decline in sales at the end of 2024. This drop is primarily attributed to low market interest in this product category. Another contributing factor may be the winter season, which presents issues in assembling power distribution cabinets, thereby reducing demand. To effectively respond to identified market trends, companies should strategically adjust their product offerings to meet evolving consumer preferences and behaviors. This includes refining product features or introducing new variations tailored to the market's needs. Additionally, optimizing pricing strategies for different product lifecycle stages can maximize revenue while retaining buyer interest. Focusing distribution efforts on channels and locations predicted to see increased demand ensures products are accessible to likely buyers. For exploring growth opportunities, trend analysis can help identify untapped or growing market segments, enabling companies to strategically introduce tailored products and potentially capture significant new market shares. Forming strategic partnerships can amplify these efforts, providing synergistic benefits like expanded customer reach  
Figure 10: Gompertz curve for product C sales with predicted interval. and enhanced product value. Moreover, investing in technology and innovation informed by long-term trends equips companies to meet future consumer demands, maintaining a competitive edge and ensuring sustainable growth.