Stokly ERP Operations

Implementation: Delivering Stokly Adoption

Getting Stokly live properly means navigating complexity, not just technical tasks. Our approach focuses on connected operational transition and sustained team adoption, ensuring your investment delivers real-world impact from day one.

Operator-led implementation to get your Stokly ERP live, on time, and embedded.

Trusted by ambitious retail brands

Implementation Framework

Getting Stokly Live, Ready for Retail

A structured approach to implementation that accounts for known retail operational realities, from data migration complexities to user adoption challenges.

Data-First Preparation

Thorough preparation of your critical retail data is the foundation of any successful Stokly implementation. We focus on cleansing, mapping, and migrating operational data accurately.

  • Granular stock-on-hand counts
  • Clean product data with unique SKUs
  • Valid supplier information
  • Open purchase order migration

Operational Readiness

From warehouse processes to retail POS transactions, we align Stokly configuration with your actual operating model, ensuring your teams are trained and ready for go-live.

  • End-to-end process mapping
  • Role-based user training
  • Cutover planning & execution
  • Post-implementation hypercare

Risk Mitigation & Testing

Proactive identification and mitigation of project risks, coupled with rigorous end-to-end testing, prevents downstream operational disruption and ensures data integrity.

  • UAT scenario development
  • Simulated stocktake testing
  • Channel order lifecycle tests
  • Contingency planning for go-live

Why Cogent2

Why implementations fail isn't always technical.

Stokly implementations often fall short due to a misalignment between system setup and real-world retail operations. Our consultants bring a deep understanding of operational behaviour, ensuring the system integrates with your business, not against it.

  • Retail-first implementation strategy
  • Focus on team adoption and training
  • Robust data migration protocols
  • Operational risk assessment
  • Post-launch optimisation plans

Operator-led

Engagement model

20+ Years

Retail operations experience

Multi-site

Deployment expertise

UK HQ'd

Familiarity

Stokly Intelligence

CogentAI

During and after your Stokly implementation, CogentAI offers operational intelligence. It monitors integration health and data consistency, identifying anomalies that could impact stock accuracy or order fulfilment, giving you an early warning system.

Stock accuracy anomaly detection
Fulfilment rate trend analysis
Integration error flagging
Operational workflow monitoring

"Go-live isn't the finish line. CogentAI provides continuous intelligence on your Stokly operation, highlighting deviations before they become critical issues."

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Snapshot: Real-time Stock Discrepancy Monitoring after Stokly Go-Live

Capabilities

What gets configured, built, and migrated for Stokly Implementation

Our implementation capabilities ensure your Stokly system is precisely configured to your operational needs, data is accurately migrated, and your teams are proficient in its use.

System Configuration

  • Location and user setup
  • Warehouse layout mapping
  • Integration endpoint setup
  • Reporting templates

Data Migration

  • Product master data cleansing
  • Stock-on-hand import (SKU & bin)
  • Supplier & PO migration
  • Customer data transfer

User Acceptance Testing (UAT)

  • End-to-end order processing
  • Goods in and stock movement tests
  • POS transaction validation
  • Reporting accuracy checks

Go-Live & Hypercare

  • Detailed cutover planning
  • Pre-go-live data validation
  • Post-go-live support
  • Initial optimisation review

Connected Ecosystems

Stokly Never Operates Alone

A successful Stokly implementation considers its role within your entire commerce ecosystem, ensuring connected data flow with sales channels and related operational systems.

Sales Channels

ShopifyAmazon Seller CentraleBayWooCommerce

Payments

StripePayPalCheckout.com

Shipping & Fulfilment

Royal Mail Click & DropDPDEvriPackfleet

Customer Service

GorgiasZendeskFreshdesk

Integration & Intelligence

PatchworksCogent AI

Operational Intelligence

Common Project Failures during Stokly Implementation

Implementations are complex. We identify and mitigate common pitfalls that derail Stokly projects, focusing on operational rather than purely technical risks.

Inaccurate Opening Stock

Symptoms

  • Stock counts don't match after go-live
  • Discrepancies between physical and system stock
  • Frequent stock adjustments needed post-launch

Root Causes

  • Failure to perform a full stock take
  • Poor data cleansing prior to migration
  • Transactions in old system during cutover
Stokly WMSLegacy Inventory

Impact: Immediate loss of inventory accuracy, leading to oversells, undersells, and customer dissatisfaction, eroding trust in the new system.

Cogent Approach: Mandate and guide a complete stock take. Implement strict data cutover protocols, ensuring all legacy systems are frozen during the final migration.

Poor User Adoption

Symptoms

  • Team reverts to old processes post-launch
  • Misuse of new Stokly features
  • Increased errors due to unfamiliarity

Root Causes

  • Insufficient hands-on training
  • Lack of stakeholder involvement in UAT
  • Configuration not aligning with daily tasks
Stokly POSStokly WMS

Impact: Reduced efficiency gains, continued reliance on workarounds, and a perceived failure of the project, even if the system is technically functional.

Cogent Approach: Conduct role-specific, practical training with real scenarios. Involve key users in UAT to build ownership and familiarisation before go-live.

Peak Trading Catastrophe

Symptoms

  • System instability during sales events
  • Fulfilment delays and backlogs
  • Integration failures under load

Root Causes

  • Go-live too close to peak trading
  • Inadequate load testing
  • Lack of contingency for unexpected volume
Stokly ERPShopifyWarehouse

Impact: Significant revenue loss, reputational damage due to poor customer experience, and immense pressure on operational teams during critical periods. This breaks first.

Cogent Approach: Strategic timeline planning to avoid go-live near peak. Implement simulated stress testing and build robust rollback plans. Avoid Black Friday.

Deep Integration Expertise

From Roll-out to Retail Optimisation

Our Stokly expertise extends beyond initial setup. We guide your teams through every phase, from meticulous data preparation to post-launch optimisation, ensuring sustained operational excellence and system value.

  • Process mapping & re-engineering
  • Data cleansing & migration strategy
  • Comprehensive UAT design
  • Physical warehouse readiness
  • Post-launch operational review

Implementation Lead

Oversees the entire Stokly implementation lifecycle, ensuring alignment with commercial objectives and managing cross-functional dependencies.

Data Migration Specialist

Manages the process of extracting, transforming, and loading critical data into Stokly, preserving accuracy across product, stock, and customer records.

Operational Trainer

Delivers hands-on, role-specific training for warehouse, retail, and back-office teams, ensuring high adoption rates and system proficiency.

Scalable Data Foundation

Robust Process Orchestration

Enhanced Operational Visibility

Decision Support Framework

Future-Ready Operations

Preparing Stokly for the Next Scale of Operations

Beyond just getting Stokly live, we position your implementation for future growth. This means designing data structures and operational workflows that can scale without requiring fundamental rework later.

The goal is not just an operational Stokly, but an intelligent Stokly installation. One that provides the foundation for advanced analytics and supports decisions as your business evolves, rather than limiting it.

Knowledge Base

Frequently Asked Questions

Implementation Approach
How long does a typical Stokly implementation take?
Timelines vary significantly based on your business complexity. Small retailers (1-5 users) might see 4-8 weeks, while medium multi-channel setups (5-15 users) typically range from 8-16 weeks. Complex projects can extend to 4-6 months, especially with significant data migration or custom integration requirements.
What data do we need to prepare before starting?
Critical data includes an accurate, bin-located stock-on-hand count, clean product data with unique SKUs and barcodes, a comprehensive supplier list, and details of all open purchase orders. Inaccurate data is a common project risk.
Do you handle data migration, or is that our responsibility?
We provide detailed templates and guidance for data extraction and cleansing, and then manage the migration process, including trial imports and final cutover. Your team's involvement in validating this data is critical for accuracy.
Post-Implementation & Support
What happens after Stokly goes live?
Post-go-live, we enter a hypercare period, providing intensive support to address any immediate issues and fine-tune processes. This phase includes monitoring system performance, integration health, and ensuring user proficiency. We then move into post-launch optimisation.
How do you ensure our team adopts the new system?
Our approach includes extensive role-based training, not just system features but also new operational workflows. Engaging key users in User Acceptance Testing (UAT) builds familiarity and ownership, crucial for successful adoption.
Can you integrate Stokly with our existing e-commerce platform?
Yes, Stokly is designed to integrate with popular e-commerce platforms like Shopify and Amazon Seller Central. We configure and test these connections as part of the implementation, focusing on accurate order flow and stock synchronisation.

Working Together

Engagement Models

Project-based Implementation

A structured, full-lifecycle implementation of Stokly, from discovery and design to go-live, hypercare, and post-launch review, tailored to your specific operational needs.

Implementation Advisory

Strategic guidance and oversight for your internal Stokly implementation team, offering expert insights on data migration, process optimisation, and risk mitigation.

Pre-Implementation Readiness

Focussed engagement to prepare your business for Stokly, covering data cleansing, process mapping, and stakeholder alignment to ensure a smooth future implementation.

Ready to get Stokly Live and Adopted?

A successful implementation sets the stage for efficient retail operations. Let's discuss a strategic approach that prioritises your commercial and operational realities.