Use Cases | Dataviva | The Retail Nervous System

1

Plan your New Product Promotions

Promotion Planning, Pricing & Promotions

Planning a promotion pulls in data from several systems and several teams, and the plan keeps changing while the promotion runs.

2

Reduce Working Capital & Inventory

Replenishment Strategy Optimization, Supply Chain Planning

As operations grow more complex, retailers face longer lead times and more volatile demand. Replacing a supply chain planning system takes years and a lot of organizational change.

3

Forecast New Products & Channels Automatically

New Items, Stores and Channels, Demand Forecasting

New products, new stores, new channels and range changes are a constant headache in retail forecasting. They usually mean lots of data gathering, manual work and guesswork.

4

Optimize your Assortment Quicker

Assortment Optimization, Assortment & Category Planning

Demand shifts fast between channels and products. Traditional assortment processes are too manual and too slow to keep up.

5

Replenish Fresh Without the Waste

Fresh Replenishment, Supply Chain Planning

Fresh is where retail replenishment is hardest. Order too little and shelves go empty; order too much and it expires before it sells. With fresh, a mistake shows up in days, not weeks. Yet most retailers still order fresh in spreadsheets, re-planned once a day at best, while deliveries land short and demand swings with every promotion.

6

Automated Price Changes

Price Automation, Pricing & Promotions

Price changes are hard to manage and to keep in line with company strategy. So retailers price at too high a level and lose margin, or change prices too rarely and lose sales to competitors.

7

Optimize Sourcing & Ordering

Inbound Planning, Purchasing & Supplier Collaboration

Late deliveries, damaged or lost shipments, uncontrolled spending and volatile prices are everyday problems in retail buying. Tracking all of this across many suppliers is hard, and buying ROI suffers.

8

Automated Size Curves & Size Prepacks

Automated Size Curves, Demand Forecasting, Inbound Planning

Accurate size profiles are crucial for fashion retailers: for range decisions, for ordering from suppliers and for first allocation. Too often they are built by hand, with errors, and updated too rarely.