Taskers Case Study
Taskers is one of Liverpool’s most established retail brands, but its ecommerce performance was being held back by technical debt and operational inefficiencies. We restructured both the Magento platform and the warehouse workflow to unlock organic growth and operational control.
- Stabilised technical SEO and improved indexation
- Rebuilt product content around commercial intent
- Reduced warehouse picking time by over 40%
This project combined search strategy with system redesign, turning an underperforming ecommerce operation into a controlled, scalable system.
Despite being one of Liverpool’s most recognised retail brands, Taskers’ online traffic was significantly below its potential. The Magento site had accumulated technical debt, crawl issues, duplicated supplier content, and structural SEO weaknesses that were suppressing organic growth and limiting visibility for high-intent commercial terms.
Operationally, inefficiencies were compounding the problem. Product data lacked consistency, metadata was incorrectly structured, and hundreds of items had been copied directly from suppliers with no keyword targeting or differentiation. In the warehouse, a paper-based picking system meant staff moved inefficiently across departments, revisiting the same areas multiple times and lacking real time visibility of stock or order status. The process was time-consuming, reactive, and difficult to scale.
We were brought in to stabilise the technical foundation, clean up indexation, improve site performance, restructure key commercial categories, and redesign the operational workflow behind the scenes. The objective was not just better rankings, but a more controlled and scalable ecommerce system capable of supporting sustained growth.
THE STORY
Taskers had built strong brand recognition offline, but the ecommerce operation was inefficient both commercially and operationally.
We identified hundreds of products that had been copied directly from suppliers, with no unique content, no structured keyword targeting, and inconsistent meta data. From a search perspective, the site was diluted, poorly positioned, and not aligned with commercial intent.
In the back end, the picking system was entirely manual and paper based. Orders were printed and handed to staff, meaning pickers could leave the shop floor at 9am and not return until 2pm. Departments were revisited multiple times because orders were not collated efficiently. It was time consuming, difficult to track, and prone to error.
We rebuilt the system.
Product content was rewritten and restructured around targeted search intent. Metadata was corrected. Categories were reorganised. Duplicate and low-value pages were removed.
Operationally, we replaced paper picking with iPads mounted on trolleys, pulling live pick lists directly from Magento. Orders were collated and routed logically, with items near the entrance picked first and department movement reduced. Real time visibility allowed us to see what was being picked, what was missing, and where delays were happening.
Picking time was reduced dramatically. What previously ran until 2pm was consistently completed by 10:30am.
This also improved delivery coordination and customer communication. Stock issues were identified immediately on screen rather than discovered later when paperwork returned incomplete or missing. The system removed guesswork and gave the business control.
THE OUTCOME
Search visibility improved, indexation stabilised, and key commercial categories began ranking competitively. Organic traffic increased because the site was finally structured around intent rather than supplier duplication.
Behind the scenes, operational efficiency changed significantly. Picking time was reduced by over 40%, order visibility became real time, and warehouse movement was optimised through structured routing.
Taskers moved from a reactive system to a controlled ecommerce operation, capable of scaling both traffic and order volume without increasing internal strain.
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