Advanced reporting for retailers, accessible on any device, any time, in the cloud. View what’s happening in each location and on every sales channel in one reporting suite.
One view, puts you and your team in control and supports critical decision making in real time. Reports use graphs and dashboards to make the data easy to understand. Compare trends across time to gain a clear understanding of performance.
Customer Insight Tools, using logic based rules, segment your customers in real time by behaviour and purchase history.
The Stok.ly reporting and insight suite is interactive, intuitive and enables users to easily export data into CSVs or print off PDFs..
Using logic-based rules, segment customers by behaviour in real-time
Capture customer data in-store, online and via sales teams
Understand which customers drive your profit
Link customer behaviour to discounts, promotions and rewards
Analyse who buys what, when and via which channel
Real-time notification when customers change buying behaviour and spend less or stop purchasing
Personalise your marketing to turbocharge your return on investment in communications
Analyse the sales performance of your team:
By hour, day, week, month, quarter and year
Total sales, number of baskets, average items in the basket, average basket value, discounts and returns
Graphs show comparative performance between team members
Identify your winners and those that need support and training
Create effective staff rotas based on peak sales periods and your best salespeople
Understand which suppliers are driving your profit and which are not
Analyse supplier performance by channel, category and sku
Custom date range
Comparison reporting across daily, weekly, monthly, quarterly and yearly
Make effective purchase order decisions based on performance data
Understand which products are driving your profit and which cost you money
Understand how products perform differently across channels and locations
Gain insight into stock turn rates
Custom date range
Comparison reporting across daily, weekly, monthly, quarterly and yearly
Make effective purchase order decisions based on performance data