Improved Efficiency:

Our app can automate the data collection and analysis process, reducing the time and effort required to derive insights from data. This can lead to increased operational efficiency.

Cost Savings:

By identifying inefficiencies, cost overruns, and areas for optimization, data analysis apps can help businesses reduce expenses and increase profitability.

Risk Management:

These apps often include data visualization tools that make it easier to understand and communicate complex data trends and insights to stakeholders.

Data Visualization:

These apps often include data visualization tools that make it easier to understand and communicate complex data trends and insights to stakeholders.

Aalto mobile app UI with two home listings and a title at the top saying 12 new matches

Aalto mobile app screen showing Seller Q&A with collapsable questions and answers

Mobile screen showing a kitchen with a virtual tour badge

Aalto mobile app UI of home front door, confetti and the word Congratulations at the top and the home name below with the label of sold

Higher Average Order Value

By eliminating the risk of commitment, "try at home" empowers customers to confidently order multiple items, often leading to larger order values. Trying on core items like jeans naturally presents opportunities to complement the outfit with additional purchases such as tops or shoes, further boosting average order value.

Increased Confidence: Customers are more likely to purchase multiple items when they can try them on at home without the risk of commitment. Data suggests that it results in 15-20% increased AOV.

Upselling opportunities: Trying on a core item (like jeans) often leads to the purchase of complementary items (like tops or shoes) to complete the outfit.

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Operational Cost Reductions

With this approach Merchants are reducing inventory levels, leading to significant cost savings in several areas. This includes reduced storage space requirements, lower insurance premiums due to decreased inventory value, minimized risk of theft, damage, or damage of excess stock, and improved capital efficiency by freeing up funds tied up in unnecessary inventory.

Reduced returns: Case studies show that "try before you buy" programs can reduce returns by up to 25%.

Less return related CC processing fees: By freezing total order cost rather than charging customers' credit cards (CC) immediately, merchants can significantly reduce credit card processing fees when customers make returns.

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Increase Loyalty

By allowing customers to try products at home before purchasing, Merchants are differentiating their brand, and significantly boosting Net Promoter Score®. Convenient online shopping experience for your customers, try-at-home option eliminates the hassle of packaging, labeling, and driving to postal office to send back the returns, ultimately yielding higher customer Lifetime Value (LTV).

Enhanced shopping experience: A positive in-home try-on experience leads to higher customer satisfaction scores. Brands with successful try-on programs often report NPS increases of 10-15 points.

Builds trust: Consumers are increasingly valuing transparency and convenience. Offering a try-at-home option demonstrates a brand's commitment to customer satisfaction.

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Higher Turnover Ratio

By offering a "try-at-home" option, merchants are able to gather valuable data on product demand, sizing preferences, and customer purchasing behavior. They are using this information to optimize inventory levels to avoid "out-of-stock" scenarios and reducing the risk of overstocking.

Demand Forecasting: Accurate demand forecasting becomes more feasible with data on customer preferences and trial results. This enables merchants to align inventory with actual customer needs, minimizing excess stock.

Faster Inventory Turnover: Products that are tried and purchased quickly lead to faster inventory turnover, reducing the average time products spend in storage.

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