Case: an online store with demand peaks
How we resolved a store that slowed down during campaigns: context, problem, risk, solution applied, implementation and result.
Tell us what is happening: we review your situation and identify what makes sense to assess first.
E-commerce and retail
From context and problem to the solution applied and its result.
- 01
Context
A food store sells online and concentrates much of its sales on a few dates in the year.
- 02
Problem
During campaigns visits multiply and the site becomes slow or goes down right in the checkout process.
- 03
Risk
Sales lost on the most profitable dates, abandoned carts and a poor experience at the moment of greatest attention.
- 04
Solution applied
Environment sized for the peaks, migration to cloud servers, off-server backups and handled monitoring during campaigns.
- 05
Implementation
Traffic history was analysed, the store was migrated in an agreed window, its behaviour was tested before the critical date and the campaign was supported.
- 06
Result
A more stable checkout during the period of highest demand and more predictable operations for the team.
Tell us what you need to solve
The first conversation is about understanding the situation. You do not need to know the right product in advance.
