Our comprehensive solutions and services guide you on your digitalization journey.
Finding the right business solution:
We speak your language! Our industry-specific solutions are perfectly tailored to your needs.
Gartner® Report: Transform Your CRM with 5 Essential Steps
Tips and updates for our solutions, informative blog posts, compelling case studies, and news about our company.
The "Intelligent Automation" specialization is awarded exclusively to partners who meet strict criteria.
Our solutions can help you estimate your company's material and inventory requirements, as well as forecast future demand. This way, you can not only reduce internal supply chain planning efforts and avoid stock outs, but also optimise your cash flow.
leading to stockouts or overstock
like lead times and promotion effects
causes delays and waste
makes scattered data
Transforms forecasts, plans, and KPIs into actionable insights for faster, smarter decisions.
Predicts SKU-level demand with advanced algorithms and external data for reliable forecasts
Calculates optimal order quantities, respecting constraints and promotions for smarter replenishment
Generates efficient production schedules and raw material recommendations for timely output
Delivers KPI dashboards and alerts—fully integrated with your ERP—for clear, actionable insights
ALISA AI platform can predict demand with high confidence for up to 97% of the total items, taking off the burden from a purchasing department by using historical and 3rd party data.
Stockout or overstock risk is nullified by the daily stock monitor, one of the platform key components, which proactively tracks demand on every item, triggers and replans orders accordingly.
By constantly improving safety stock and keeping the monitor of market demand, our ALISA AI can help you avoid stock-out situations almost completely, lowering them by up to 90%.
In one to three months of productions, you'll be able to completely change the structure of your inventory, so that slow-moving items don't pile up anymore and your inventory is filled up with mid-to-high rotation items, which will help you improve inventory turnover for up to 2 times.
Managing inventory? ALISA AI has the solution! In this video, discover how our platform effectively tackles inventory management challenges.
Not sure what you need? Contact us and we will be more than glad to help you.
Here’s how one of the leading distribution companies introduced AI into their supply chain and managed to avoid stockouts by using AI support.
Basic components in forecasting demand are historical data on market demand (retail sell-out data if possible), external 3rd party data, context, specifics, and various constraints which have significant impact on forecasting, such as promotion periods, price change, outliers, anomalies, availability, bonus schemes, etc. The results of a demand forecast are then used either to estimate the needed raw materials, or other manufacturing items in production companies, or just to define ordering goods for a vendor in trading companies.
There are many steps in a supply chain which can be optimised by using technology. Our solution focuses on helping companies order optimal quantities, which has an impact on multiple points in a supply chain, such as lower inventory stock, lower transportation stock, regular ordering frequencies, and better predictability, avoiding warehouse jams, etc.
Most of our customers experience benefits in a few business categories: financial benefits in terms of freed-up cash flow which can be invested into growth, labour benefits in terms of up to 50% less time spent on repetitive activities, which allows purchase departments to focus on complex purchases like new items placement, etc., as well as operational benefits in terms of lowering overstock levels while, at the same time, avoiding stock-out situations both in a warehouse and retail stores, or in raw materials acquisition.
On top of the benefits previously described, many other users within a company benefit from introducing AI based inventory optimisation. Marketing teams will have better insight into promotional efficiency, warehouse managers will be able to avoid warehouse jams due to predictive ordering periods, and your new employees or interns will gain knowledge organized in one place instead of it being scattered around the organization.
It is a service which estimates a demand for an individual item in your inventory, and generates an optimal order recommendation. It takes into account many constraints, specifics and context of an item, as well as the vendor.
Prior to entering a full project, we offer various piloting options ranging from a tailor-made presentation for your company to a detailed benefit analysis simulated on a digital twin using actual historical data and events. These POC activities also include workshops with key users for the purposes of discussing and validating the order recommendations generated by our algorithm.
As the first step of this journey, we offer analysis of your sales and stock data, and dedicated presentation of the results of our platform, including a tailor-made report for your company. Detailed steps and guidelines are listed here.
Dedicated workshops, called hypercare workshops, are an integral part of our projects where we sit together with end users and go through all the specifics that their vendors or SKU’s might have, and also help them to interpret the proposal coming out of the algorithms, as well as put them in the context of historical data and various constraints.
There are many business rules and constraints, dependant on the industry, that are a standard part of our solution like minimum order quantity or amount, seasonal sales, promotional sales (including various promotion types), cargo and logistics information, substitutes definition, leading items per category (prioritisation), etc.
Our solution can be deployed on-prem or in any private or public cloud environment, as well as API integrated with ERP.
Stock optimisation is an important KPI in supply chain businesses, as it translates to cash flow directly. On the one hand, constantly high stock levels (overstocking) indicate that money spent on stock is money not spent on potential growth while on the other hand, low stock levels (frequent stock-out events) indicate that money might be getting lost on missed sales.
