Insights

How SynctacticAI Data Science Platform Can Be Leveraged By Apparel, Warehouse, Retail, Consumer Electronics Companies and More....

Post by
Suraj Venkat
Insights

How SynctacticAI Data Science Platform Can Be Leveraged By Apparel, Warehouse, Retail, Consumer Electronics Companies and More....

By
Suraj Venkat
|
March 16, 2021
|
3 Mins Read
How SynctacticAI Data Science Platform Can Be Leveraged By Apparel, Warehouse, Retail, Consumer Electronics Companies and More....

Apparel and Retail

The apparel industry is a slow adopter, it often favors merchant-and designer-driven “gut feel” over quantitative and predictive thinking. The main challenges for these companies are poor data quality, a rapidly changing products and competition.

Challenges SynctacticAI can solve

1. SynctacticAI can enhance customer experience

2. SynctacticAI can be used to learn customer’s behavior better and serve hyper personalised experiences

3. Reducing and Optimizing costs, increasing efficiency - identifying areas that are bringing returns and those that aren't in terms of time and capital


With SynctacticAI apparel and retail companies can transform Shopper Experience and Supply Chain Capabilities! A win on both ends - supply and demand!


SynctacticAI can help retail organizations use shopper, transactional, and category trend data for predictive insights that end up massively boosting transactional volume and customer profitability, minimizing supply chain costs, and optimizing store operations.

The following use cases are especially helpful to Apparel and Retail companies

Supply and Demand analytics, Geolocation based recommendation selling, hyper personalised recommendations, Customer 360, Life time value , Upsell and cross sell, demand forecasting in revenue, sales and inventory.

Warehouse

Warehouse management based on an individual approach to corporate data using Data Science can significantly increase inventory turnover rate, decrease surplus inventory and "emergency" orders, improve customer service, and eventually overall customer satisfaction. Forecasting based on conventional warehouse management strategies does not bring accurate results.

Consumer electronics

Supply-related risks are associated with rate disruptions that can be quite damaging. At the operational level, these risks can be associated with disruptions or delays.

Some use cases relevant to all these industries
1. Inventory optimization
2.CRM optimization
3.Predictive Energy Management
4. Promotions and Deals Optimization
5. Delivery Optimization

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