
LS Central runs in over 110,000 stores, restaurants, hotels, gas stations, and pharmacies across 157 countries, powering POS and operations for mid-market and enterprise businesses with multiple locations, countries, or channels. The platform combines POS, inventory, pricing and promotions, loyalty, eCommerce, workforce management, analytics, and financial operations in one system.
It is ERP-agnostic: native integration with Microsoft Dynamics 365 Business Central, plus connections to SAP S/4HANA, Oracle, and Microsoft Dynamics through CentralConnect, LS Retail's own managed integration. Businesses standardize operations globally without replacing the ERP already in place.
The modular design lets businesses start with the capabilities they need and expand as operations grow, with global templates for consistent processes and local rules for taxation, pricing, and compliance.
AI-enhanced capabilities cover demand forecasting, inventory optimization, promotion tracking, and operational reporting, synced in real time.
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Google's Compute Engine, which falls under the category of infrastructure as a service (IaaS), enables businesses to create and manage virtual machines in the cloud. This platform facilitates cloud transformation by offering computing infrastructure in both standard sizes and custom machine configurations. General-purpose machines, like the E2, N1, N2, and N2D, strike a balance between cost and performance, making them suitable for a variety of applications. For workloads that demand high processing power, compute-optimized machines (C2) deliver superior performance with advanced virtual CPUs. Memory-optimized systems (M2) are tailored for applications requiring extensive memory, making them perfect for in-memory database solutions. Additionally, accelerator-optimized machines (A2), which utilize A100 GPUs, cater to applications that have high computational demands. Users can integrate Compute Engine with other Google Cloud Services, including AI and machine learning or data analytics tools, to enhance their capabilities. To maintain sufficient application capacity during scaling, reservations are available, providing users with peace of mind. Furthermore, financial savings can be achieved through sustained-use discounts, and even greater savings can be realized with committed-use discounts, making it an attractive option for organizations looking to optimize their cloud spending. Overall, Compute Engine is designed not only to meet current needs but also to adapt and grow with future demands.
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DemandTec
By advancing AI-driven pricing strategies to new heights, we equip retailers and consumer packaged goods partners with the tools necessary for implementing ideal pricing, promotions, and markdowns that are crucial for success in today's highly competitive retail sector. The landscape of retail has been irreversibly altered by the COVID-19 pandemic, prompting a fundamental reassessment of traditional planning, pricing, and promotional tactics. This exclusive report sheds light on how to effectively meet the evolving demands of future consumers. Utilizing integrated and cohesive data sources along with collaborative teams, companies can boost supplier partnerships through enhanced consumer insights and analytics. The incorporation of innovative and flexible data science ensures smooth compatibility with diverse analytical platforms, facilitating a more profound understanding of shopper behavior concerning pricing, promotions, and markdowns. With the support of AI, data science, and sophisticated predictive and prescriptive analytics, companies can attain remarkably precise forecasting that aligns with market dynamics. Ultimately, these advancements not only enable retailers to adjust to new challenges but also empower them to flourish in an ever-changing environment. In this way, businesses can cultivate resilience and adaptability, positioning themselves for long-term growth and success.
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Competera
Competera enhances the profitability of retailers and cultivates customer loyalty by leveraging artificial intelligence to create optimal, customer-focused pricing in real time. Our comprehensive platform merges Competitive Data with the Pricing Platform to fulfill all your pricing requirements effortlessly.
- Competitive Data provides exceptional, real-time market insights with a 98% Service Level Agreement (SLA), offering a complete 360-degree perspective of the market. This empowers retailers to identify market trends and adjust their pricing strategies with confidence.
- The Pricing Platform utilizes Contextual AI along with over 20 demand influencers to deliver real-time pricing optimization across your entire range of products and sales channels. This enables retailers to make informed decisions with 95% accuracy, enhance basket values, and achieve a gross margin increase of up to 6%.
Moreover, our platform significantly reduces the workload for pricing teams by as much as 70%, enabling your team to concentrate on strategic initiatives aimed at fostering growth. The investment for our solution is customized according to the number of SKUs managed, the extent of deployment, and the specific setup of your products, ensuring it aligns perfectly with your individual business requirements. This flexibility makes it easier for retailers to adapt to changing market dynamics and stay competitive.
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