POS platforms typically ask retail, restaurant, hotel, pharmacy, and gas station businesses to choose: adopt the vendor's ERP, or bolt on a separate integration yourself. LS Central works differently. It integrates natively with Microsoft Dynamics 365 Business Central, and connects to SAP S/4HANA, Oracle, and Microsoft Dynamics through CentralConnect, LS Retail's own managed integration. Businesses keep the ERP and payment infrastructure they already run.
On top of that, LS Central combines POS, inventory, pricing and promotions, loyalty, eCommerce, workforce management, analytics, and financial operations in one system, running in over 110,000 locations across 157 countries.
The modular design means businesses adopt only the capabilities they need and extend over time, with global templates for consistent processes and local rules for taxation, pricing, and compliance.
AI-enhanced capabilities add demand forecasting, inventory optimization, promotion tracking, and operational reporting, with data synced in real time.
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Compute Engine (IaaS), a platform from Google that allows organizations to create and manage cloud-based virtual machines, is an infrastructure as a services (IaaS).
Computing infrastructure in predefined sizes or custom machine shapes to accelerate cloud transformation. General purpose machines (E2, N1,N2,N2D) offer a good compromise between price and performance. Compute optimized machines (C2) offer high-end performance vCPUs for compute-intensive workloads. Memory optimized (M2) systems offer the highest amount of memory and are ideal for in-memory database applications. Accelerator optimized machines (A2) are based on A100 GPUs, and are designed for high-demanding applications. Integrate Compute services with other Google Cloud Services, such as AI/ML or data analytics. Reservations can help you ensure that your applications will have the capacity needed as they scale. You can save money by running Compute using the sustained-use discount, and you can even save more when you use the committed-use discount.
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Retail Express
Pricing software solutions provide entry-level Price Management, through to the most complex Price Optimization and Automated Rules Based pricing needs. The system can then forecast the likely outcomes for different prices. This solution combines all elements of pricing in today's market to implement and optimize Hi/Low, EDLP, or a combination of those strategies through line items, brand, supplier and category rules and differentials. It also includes performance targets. Price optimization allows you to maximize your portfolio's profit, margin, or contribution. We can optimize regular and promotional pricing separately or concurrently, and on demand, without having to take into account the effects of other revenue optimization products.
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Competera
Competera elevates retailers’ profitability and fosters customer loyalty by utilizing AI to establish optimal, customer-centric pricing in real time. Our integrated platform combines both Competitive Data and the Pricing Platform to meet all your pricing needs seamlessly.
• Competitive Data supplies high-quality, real-time market intelligence with a 98% Service Level Agreement (SLA), granting a full 360-degree view of the market. This enables retailers to detect market trends and fine-tune their pricing strategies confidently.
• Pricing Platform employs Contextual AI alongside more than 20 demand drivers to offer real-time pricing optimization across your entire product range and sales channels. This allows retailers to make data-driven decisions with 95% accuracy, boost basket values, and realize up to a 6% increase in gross margin.
Our platform significantly decreases the workload of pricing teams by up to 70%, allowing your team to focus more on strategic initiatives that drive growth. The investment for our solution is tailored based on the number of SKUs under management, the scope of deployment, and the specific product setup to fit your unique business needs.
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