One software system to cover all your inventory management needs and more!
Stock replenishment is a vital process in retail. An effective inventory replenishment software can help you purchase the right amount of stock and distribute it optimally, ensuring customer satisfaction and long-term profitability. LS Central for retail includes a sophisticated suite of replenishment and supply chain management tools. Free up capital by purchasing the correct amounts of stock for each item group and variant, optimize availability with intelligent item allocation across your chain and reduce the risk of out-of-stock and overstock situations.
Purchase items in the right quantities and distribute them to the stores where they are needed, with no effort – it’s all automated. LS Central uses sophisticated calculations that account for sales history and sales velocity to:
Easily allocate stock across your stores in a plan-driven way. You decide the strategy behind how items should be pushed to the stores at the start of the season, and recalled at the end of season. The system then helps you allocate the stock, calculating the most optimal distribution across your chain based on two rules:
Move items from stores experiencing lower sales to store locations with stronger demand. Balance the stock available in your supply chain network, maximize sales and grow margins. The store stock redistribution functionality is especially useful:
Optimize your stock mix taking into account the shelf space available in each store location. Based on the space available in each store and on your parameters (how many units you want to have per product category), the system helps you ensure you always maintain a good variety of items in store.
LS Central features a powerful and user-friendly retail budget, which includes:
Budgets can be used for open-to-buy planning, which helps you understand how many items you still have to purchase for future time periods to fulfil your sales plans. Open-to-buy also helps you keep you budget under control, as you can set upper limits of expense that buyers cannot exceed.
Use the power of Artificial Intelligence-powered demand planning to decrease inventory costs and out of stocks and reduce planning mistakes. LS Central can be enhanced with LS Forecast, a cloud-based predictive suite that leverages the advanced algorithms of Microsoft’s Cortana Intelligence Suite to predict what stock you’ll need to buy and how you should transfer it to your store locations for maximum sales results. LS Forecast:
Optimize the in-store item assortment with an intuitive top-down approach that uses flexible store and item hierarchies.
Get an instant, clear view of all inventory available across the company, including layaways and transfer requests.
Carry out store inventory processes on handheld devices, including goods receiving, adjustments and transfers.
Track how often out-of-stock situations occur and how long they last per item, variant, location, and day level.
Find out how long stock will last you based on sales history, and understand which items are under- and over-stocked.
The system uses historical sales data to calculate how to distribute products in each variant (size, color, etc.) to each of your stores.
Measure whether your vendors deliver on time and in the right quantity and if they invoice using the agreed prices.
Track status, current and estimated end-of-season stock levels and other KPIs during each item’s lifecycle, and take actions to maximize sales.
Choosing the right business management software for your retail stores, whether big or small, can be an overwhelming experience, but we are here to help and assist you in answering your questions. Just contact us!
aswaaq chose LS Retail software
Today’s consumers expect supermarkets to custom-design experiences to fit their needs. To do this, we wanted a comprehensive IT infrastructure that could manage all aspects of our automated processes. The solution had to reduce manual labor, maximize efficiencies, and give our customers the best service possible.
Read customer success story
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