Demand forecasting
We built a sales forecasting system and optimized the volume of goods in the warehouse and the range of goods in different locations, considering each outlet's specifics. We set up a system that has processed more than 8 TB of sales data. These have helped the retail business increase revenue, improve logistics planning, and achieve other business goals.
88%
forecasting accuracy
0.9%
out-of-stock reduced
About the client
Retail trading company focused on production of luxury goods, available in more than 3,000 stores worldwide.
Tech stack
ReactJS
Django
Pandas
Pyspark
Redis
The client's needs
Challenges & solutions
Challenge
Optimize the volume of goods in the warehouse by location.
Solution
Built clusters of stores taking into account customer behavior.
Built a basic model based on time series forecasting.
Built a refined model based on the neural network taking into account additional factors such as holidays, economical indicators of countries where stores are located, weather conditions, etc.
Challenge
Optimize the assortment of goods in various locations taking into account specifics of each outlet.
Solution
8TB/24month sales data processed.
19%/$142mln reduced the volume of residues in warehouses.
Challenge
Build a sales forecasting system.
Solution
88% accuracy of forecasting.
0.9%/from 4% decreased the out of stock level.
Challenge
Solution
Challenge
Solution
Challenge
Solution
Challenge
Solution
Challenge
Solution
Results
I think what is really special about the DATAFOREST service is its flexibility, openness, and level of quality and expertise.
Steps of providing
data scraping services
How we provide data integration solutions
Steps of providing web applications services
The way we deal with your task and help achieve results
The way we deal with your issue and achieve result
Supply chain dashboard
The client needed to optimize the work of employees by building a data source integration and reporting system to use at different management levels. Ultimately, we developed a system that unifies relevant data from all sources and stores them in a structured form, which saves more than 900 hours of manual work monthly.
Their technical knowledge and skills offer great advantages. The entire team has been extremely professional.
Performance Measurement
The Retail company struggled with controlling sales and monitoring employees' performance. We implemented a software solution that tracks sales, customer service, and employee performance in real-time. The system also provides recommendations for improvements, helping the company increase profits and improve customer service.
They easily understand industry-specific data and KPIs, and their efficiency as a team allows them to deliver results quickly.
Client Identification
The client wanted to provide the highest quality service to its customers. To achieve this, they needed to find the best way to collect information about customer preferences and build an optimal tracking system for customer behavior. To solve this challenge, we built a recommendation and customer behavior tracking system using advanced analytics, Face Recognition, Computer Vision, and AI technologies. This system helped the club staff to build customer loyalty and create a top-notch experience for their customers.
The team has met all requirements. DATAFOREST produces high-quality deliverables on time and at excellent value.
Stock relocation solution
The client was faced with the challenge of creating an optimal assortment list for more than 2,000 drugstores located in 30 different regions. They turned to us for a solution. We used a mathematical model and AI algorithms that considered location, housing density and proximity to key locations to determine an optimal assortment list for each store. By integrating with POS terminals, we were able to improve sales and help the client to streamline its product offerings.
The team reliably achieves what they promise and does so at a competitive price. Another impressive trait is their ability to prioritize features more critical to the core solution.
All Success Stories
Latest publications
All publications.webp)
November 20, 2024
16 min
Business Digitalization: Key Drivers and Why It Can’t Be Ignored
Digital Transformation
November 20, 2024
16 min
Business Digitalization: Key Drivers and Why It Can’t Be Ignored
.webp)
November 20, 2024
14 min
AI in Food and Beverage: Personalized Dining Experiences
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November 19, 2024
12 min
Software Requirements Specification: Understandable Framework
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