• Repsly mobile software solution
  • Repsly mobile software solution
  • Repsly mobile software solution
  • FMCG 360 order-optimisation model

June 2015 - The Finance Function started to work as a Repsly Reseller partner in Ireland

August 2015 - Bar code scanner introduced in Repsly

October 2015 - Repsly to be used by telecommunication operator for its door-to-door activities

November 2015 - Auto-check-in introduced in Repsly

November 2015 - Rout-plans import available

Repsly

Repsly is a mobile software solution for enhancing field activity management.

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FMCG360

FMCG 360 is an order-optimisation model that optimises orders and stock level. FMCG 360 helps decrease out-of-stock situations as well as overstock situations.

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 Repsly 

Repsly is a mobile software solution for enhancing field activity management. Setting out to simplify processes for field teams and their managers, Repsly has customers in over 40 countries.

Repsly targets organisations with field reps that visit established clients on a recurring basis to perform customer service and field management functions, such as taking replenishment orders, merchandising products on retail shelves, marketing for referrals, or performing regular maintenance. Deployed by leading global brands as well as innovative start-ups, Repsly enables these organisations to improve the efficiency of their field teams, and greatly simplifies the collection and analysis of field data. 

As a result, Repsly’s solution helps organisations create a tight connection between the field and back-office operations.

Increase efficiency in the field by providing your team the ultimate productivity app! 

Allow your field reps to easily capture data from their mobile devices and help them focus on what really matters - building client relationships and making the sale.

View all of your real-time field data in one place !

Find photos, forms, GPS data, visit schedules, and work time & mileage information all in the web console. From there, you can find reports that will help you analyse your data.