AI Powered integration with expert operators

Cloudshelf

Integration iPaaS Agency

We use AI-powered delivery and experienced operators to solve common in-store operational problems. As Cloudshelf sales increase, a poor connection to your backend systems creates inaccurate stock levels and reconciliation work. We build the connection properly, ensuring data is reliable and your finance and store teams can trust the numbers.

Castore
Lounge
Oliver Bonas
Green People
Tatty Devine
Cult
Consulting

Tap into Cogent's seasoned prowess in Cloudshelf, mastering Multi-channel, Omnichannel, and Unified retail. Propel your eCommerce store's organic growth with enhanced visibility. Boost operational efficiency and tech stack performance. Benefit from cutting-edge training and strategic insights to scale swiftly.

Solution Design

In this design, your source system acts as the master for product data and inventory levels, while Cloudshelf serves as the point of capture for digital aisle transactions. A key decision involves the timing of inventory updates. We typically configure stock updates from the source to Cloudshelf to prevent overselling on the shop floor. For sales, we often batch transactions for financial posting to ensure cleaner reconciliation against bank settlements, even though this may introduce a slight lag in intra-day reporting. This trade-off is intended to maintain a clear financial audit trail while giving store staff the stock data they need for customers. The design ensures that finance can close the month accurately off the source ledger, while operations rely on Cloudshelf for store execution.

iPaaS

Cogent2 uses IPaaS to seamlessly connect Cloudshelf with various systems, enabling smooth data flow and integration. Benefits include faster deployment, reduced complexity, and enhanced scalability, allowing agencies and consultants to focus on innovation and client satisfaction without getting bogged down by tech hurdles.

Surfacing sync failures and inventory drift

Dashboards often mask operational failures by showing general health while data drift occurs silently. We focus on identifying the specific gaps where Cloudshelf and your source system diverge, such as inventory levels that fail to update after a store sale or transactions that fail to post due to mapping errors. Visibility requires tracking the status of SKUs and transactions in transit. Instead of waiting for a manual stock take to reveal a discrepancy, we surface sync failures as they occur. This allows your team to identify issues before an out-of-stock item is sold through a kiosk, protecting your store credibility.

Operational handover for finance and store teams

We hand over the operating model to your finance, store ops, and ecommerce teams to ensure clear ownership after launch. Training focuses on how to monitor sync health and who owns specific exceptions, such as a failed transaction post or an unmapped SKU. Your finance team will learn to verify daily sales totals against the source system, while store ops will understand how to read inventory alerts. All documentation is written as an operational guide for the people running the business, not a technical reference. This ensures your team can confidently manage the daily flow of data between Cloudshelf and your core systems.

Ongoing technical oversight and exception management

Integration support is an ongoing operational commitment. We monitor the data flow between Cloudshelf and your source system to catch exceptions that might impact store performance. If a transaction fails to sync or an inventory update stalls, we investigate the cause. Our model provides oversight of your retail data, so your team can focus on serving customers instead of troubleshooting connectivity. We work to ensure integration stability to protect your daily operations.

Integration operating model

Operationally, your source system remains the definitive master for SKU data, pricing, and inventory levels. Cloudshelf functions as a window into that data for your store staff and customers. When a sale occurs via Cloudshelf, the transaction is pushed back to the source system to update the central ledger and adjust physical inventory at the relevant location. This ensures that different sales channels are working from a single version of the truth. By automating this loop, you reduce the need for manual end-of-day sales reporting and help keep inventory accurate across your locations.

Common failures

Inventory drift is a common failure, where Cloudshelf displays stock that has already been sold elsewhere because the source update was delayed or missed. This leads to the risk of overselling in-store. Another critical failure point is un-reconciled transactions. If kiosk sales do not post correctly to your central system, your reporting becomes inaccurate, often forcing teams into manual data cleanup. We also see mapping errors where new SKUs or locations are added to the source system but do not sync with Cloudshelf, causing items to be missing from your digital aisles.

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