Shopify Historical data apps

Distil: AI Revenue Forecast

$12-$50 / Month

7.8

3 Reviews

Predict future sales with AI revenue forecasting Show more

Distil: AI Revenue Forecast is a cutting-edge application designed to transform your historical data and real-time sales figures into precise revenue forecasts. This innovative tool allows you to set personalized financial year dates and sales targets, making it adaptable to your business's unique timeline. With its AI capabilities, Distil identifies seasonal buying patterns, ensuring your monthly sales projections are always accurate. Track changes easily with a user-friendly dashboard, keeping you informed month-by-month of any shifts in your forecast. The app also offers year-end projections for both the current and next fiscal year, providing comprehensive insights into future financial performance. Additionally, you can effortlessly share forecast reports with colleagues via email, fostering collaboration and strategic planning. Distil equips businesses with the foresight needed to plan effectively and achieve financial goals.

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Month-by-month projections

Year-end forecasts

Custom fiscal dates

Sales targets

Seasonal pattern detection

Automatic email sharing

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Cohub Inventory Counting

$19-$99 / Month

(3.6/5)

20 Reviews

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Take stock of your inventory and know your true value.

Mobile barcode scanning

Team count invitation

Par level settings

Mid-count adjustments

Abc item analysis

Inventory overview

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ARCS History Tracking

$2.99-$15.99 / Month

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Track changes of your important data Show more

ARCS History Tracking is a comprehensive app designed to help store owners and managers meticulously monitor changes made to products, product variants, and customer data. By enabling detailed audits of data modifications, the app provides a secure way to revert any accidental updates, ensuring data integrity. This feature is invaluable for maintaining accurate records and optimizing store performance. The app also offers data analysts the ability to evaluate the impact of these changes, providing insights into store operations over time. Users can easily toggle history tracking on or off for specific objects, enhancing customization for their particular needs. Additionally, the app includes a robust search function for locating history records of specific objects and supports exporting history logs as CSV files for thorough external analysis.

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Track changes

Audit updates

Rollback changes

Historical records

Impact analysis

Enable/disable history

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Bipeye Orders Analytics

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Sales and product insights collected up to the end of last day

Seamless integration

Advanced analytics

Intuitive interface

Historical data analysis

Refund ratio tracking

Drill-down analytics

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Feedest

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Improve the performance of your catalog campaigns

Import product feed

Customize product feed

Dynamic creatives

Monitor business data

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Helium fashion landing pages

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No-code smart fashion stores with dynamic merchandising Show more

Helium Fashion Landing Pages is an innovative app designed to elevate your Shopify store with its no-code tool, enabling the creation of headless smart stores that respond dynamically to real-time location data and visitor behavior. This cutting-edge tool allows you to merchandise your products based on a myriad of factors like weather conditions, historical data, and emerging sales trends, ensuring that your store remains relevant and appealing to every shopper. By personalizing each visitor's experience, the app recommends products, adapts themes for different campaigns, and crafts unique user journeys—all powered by first-party cookies. Moreover, Helium ensures your pages load with excellent speed and optimized SEO scores through server-side rendering techniques. Tailored for both first-time and repeat visitors, the platform enriches each interaction with behavior-driven customization. With dynamic themes and smart A/B testing capabilities, Helium fashion landing pages provide a powerful, user-friendly solution to revamp your fashion retail strategy.

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Personalized recommendations

No-code design

Smart a/b testing

Visitor behavior tracking

Dynamic merchandising

Real-time adaptation

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