.svg)
Bugs pile up and fixes never get resolved
Support queues are overflowing, but the actual fixes your SFCC sites need keep slipping to "next sprint." Tickets bounce between support, dev and business teams while investigations drag on, priorities change and the one or two SFCC experts who can really fix things are already overloaded. Meanwhile, customers still hit broken journeys, your trading team works around issues instead offocusing on growth, and your "managed support" budget funds conversations instead of resolutions
Backlogs grow while issues linger
Traditional support models spend most of their time triaging, updating tickets and chasing approvals, so even simple bugs can sit for days before anyone touches the code
Dependence on scarce SFCC specialists
Only a handful of experts are trusted to work in SFCC, which turns every defect intoa scheduling problem and slows down fixes across all your sites and brands
Slow, manual routes from incident to code change
Root-cause analysis, replication, patch creation and testing are often handled in separatetools and teams, creating handoff delays and context loss that push realresolutions further out
TCTG BugFixer connects directly into your SFCC support flow so bugs move from incident to fix automatically, instead ofqueuing for scarce developer time. It uses AI to analyse logs, replicate issues and generate code-level patches against your standards, then routes them through your existing review and deployment process so quality and governance stay intact. By stripping out manual investigation, handoffs and duplicated effort, your team spends less time triaging and more time approving ready-to-go fixes, shrinking backlogs, reducing outage and fire‑fight costs, and turning SFCC support into a predictable, efficient engine
