Prescriptive Retail Solutions
Michelle White
| Director, Merchandising Private LabelPrivate Label Candidates
Informed insights on products best suited for private labelling.
The main challenge faced by the current retail industry lies in spotting the right candidates for private labelling amidst a million products. Also, inherent time-to-market delays require predicting product performance ahead of time. When performed rightly, private label brands offer well-segmented assortments and higher profits. However, without the right strategy, retailers can quickly lose competitive relevance leading to excessive markdowns.
With the power of data analytics driven by customer experiences, DecisionMinesTM helps retailers gain a competitive advantage with its Private label candidate identification Decision Point. DecisionMinesTM recommends the products that are best suited for private labeling by predicting their sales for the upcoming quarter and helps retailers make better pricing decisions. Connect with us to know more on the science of maximizing profits by predictive private labeling.
Connect with us to know more about our capabilities.
Brandon Williams
| Store ManagerCustomer Drop Analysis
Insightful pointers to leverage consumer preference for retention.
The best retail experiences always begin with knowing your customers, and serving them in their precise moment of need. Retailers need to engage consumers with curated marketing while providing seamless and interconnected shopping channels. DecisionMinesTM processes insights from the customer journey analytics data to help retailers provide relevant consumer experiences. Retailers can save time by replacing traditional analysis with a broader analytics strategy focusing on shopping preferences, customer purchasing behavior, and retail industry trends and predictions. We help you predict your customer’s next move and measure the impact of your strategies.
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Kevin Stone
| Warehouse ManagerInventory Optimization with GMROI
Actionable insights to increase GMROI, minimize stock-outs and overstocking.
In the new digital economy, inventory is a critical business asset. Retailers naturally feel compelled to continually stock up, but often lack the strategy to optimize inventory. The key challenge is syncing the demand and supply planning factors and fulfillment operations such that time-to-shelf is quick, and manufacturing and distribution costs are low, because poor cross-channel inventory management affects revenue and customer loyalty. DecisionMinesTM helps retailers gain a competitive advantage with insights driven by store analytics and customer behavior. Using algorithms and GMROI, it enables you to avoid out-of-stock situations without excessive inventory maintenance.
Connect with us to discover how retail predictive analytics provides real-time insights.
Demand Forecasting
Insightful pointers to improve sales volume, using historical data and changing trends.
In the new digital economy, inventory is a critical business asset. Retailers naturally feel compelled to continually stock up, but often lack the strategy to optimize inventory. The key challenge is syncing the demand and supply planning factors and fulfillment operations such that time-to-shelf is quick, and manufacturing and distribution costs are low, because poor cross-channel inventory management affects revenue and customer loyalty. DecisionMinesTM helps retailers gain a competitive advantage with insights driven by store analytics and customer behavior. Using algorithms and GMROI, it enables you to avoid out-of-stock situations without excessive inventory maintenance.
Connect with us to discover how retail predictive analytics provides real-time insights.