10 Systems, 15 Workflows, 75% Faster
As ZigZag Global scaled to manage over $2B in returns for leading retailers, integration delivery became a critical dependency. Delays or instability during peak return seasons could disrupt retailer operations and impact revenue at scale.
Deployed across their entire returns ecosystem, powering $2B in returns.
About
ZigZag Global is a SaaS platform that helps e-commerce retailers manage domestic and international returns.
Industry
Retail & Ecommerce
Company Size
51-200
Headquarters
London, United Kingdom
Systems Integrated
With billions of dollars in returns flowing through its platform each year, the margin for error is thin. Any delay, data mismatch, or failed integration directly impacts retailer revenue, customer trust, and brand loyalty.
But as ZigZag scaled to support more retailers across more markets, they faced a new kind of threat: an integration layer that couldn’t keep up.
As retailer demand increased and integration requirements became more bespoke, ZigZag’s internal teams were spending increasing time managing complex API connections. Each new retailer onboarding required custom work, slowing deployment and diverting engineering focus away from core product innovation.
With every retailer using different platforms, from legacy ERPs to modern e-commerce systems, the data structures, API protocols, and business logic vary dramatically.
ZigZag recognised that existing integration approaches would not scale with their growth ambitions. The team needed a solution that could standardise integration delivery, reduce engineering overhead, and ensure stability during peak trading periods.
With retailer demand rising and custom integrations consuming valuable engineering cycles, ZigZag’s leadership knew a new scalable approach was essential to future growth.
What set Versori apart was the combination of platform, methodology, and deep domain expertise.
Versori’s AI-native platform enabled ZigZag’s teams to design and deploy integrations dramatically faster. Instead of custom-coding every scenario, a series of LLMs (Large Language Models) orchestrated the build, and handled business logic changes, API connectivity, and error handling automatically.
The platform also abstracted protocol differences across systems:
All of these could be connected within the Versori platform.
Equally important was the partnership. Versori brought deep experience in e-commerce, ERP, logistics, and returns management. Where ZigZag’s team might spend days interpreting an unfamiliar API, Versori’s AI capabilities meant that the nuances would already be understood, dramatically accelerating delivery.
By using Versori’s Plan agent, ZigZag transformed how connectors are built. What previously required extensive manual scoping and research can now be planned, documented, and structured from a single prompt.
Planning that once took significant engineering effort can now be completed in as little as 15 minutes per connector. This enables ZigZag to scale its integration ecosystem efficiently, reduce overhead, and support growth without increasing operational strain.
Versori’s AI agents autonomously orchestrate complex workflows, map and standardise data across platforms, and validate outputs in real time.
This ensures consistent, reliable data flow, enabling ZigZag to manage growing operational complexity while maintaining accuracy and performance as the business expands.
Manual API mappings often break as schemas evolve, creating delays and rework. Versori’s Connect Agent automatically detects schema drift, regenerates accurate mappings, and learns from corrections over time.
This accelerates integration triage and reduces disruption, ensuring systems remain stable, up to date, and performant as underlying APIs change.
As transaction volumes increase, undetected errors can quickly escalate, driving up costs and diverting engineering focus.
Versori monitors transactions in real time, identifying and resolving issues before they compound. This reduces rework, prevents downstream failures, and lowers operational overhead allowing engineering teams to focus on innovation instead of firefighting.
The rollout prioritised integrations by business impact. Core workflows, order processing, inventory synchronisation, and customer communication, launched first. More advanced capabilities, including tax compliance automation and cross-border coordination, were layered on top.
Every integration was built with robust error handling, monitoring, and performance optimisation to withstand peak-season volumes. All integrations were delivered as multi-tenant embedded connectors, enabling ZigZag’s customers to plug in and go, without custom development.
Where onboarding once took weeks of manual engineering effort, teams now move at pace, freeing development time for strategic innovation.
Managing returns across sales channels created visibility gaps and manual workload for retailers using Linnworks. Without real-time updates from ZigZag Global, return data was often delayed or inconsistent, leading to inaccurate stock levels and slower customer resolutions.
The solution: Versori delivered a seamless integration between ZigZag Global and Linnworks that allows...
What was once a growth constraint became a competitive advantage. ZigZag can confidently commit to aggressive timelines, close deals faster, and expand into new markets without fear of integration bottlenecks.
Retail partners benefit from autonomous data flow across their entire commerce ecosystem. Returns, exchanges, refunds, and communications run automatically, reducing recurring overhead costs, and transforming returns from a cost center into a loyalty driver.
By offloading integration complexity, ZigZag’s engineering team refocused on core innovation. New analytics capabilities, smarter warehouse algorithms, and advanced returns policy engines shipped faster, capabilities that would have stalled under the old integration model.
For a company processing billions in returns annually, Versori removed the fundamental barrier holding ZigZag back. The result: a scalable foundation that supports growth, experimentation, and industry leadership.
