Jeddah, Saudi Arabia—CyberAgora, a software as a service (SaaS) company, provides organizations and enterprises in Saudi Arabia and beyond with systems powered by artificial intelligence (AI). CyberAgora'sAI business solutions are built for easy integration and seamless interoperability, ensuring businesses can take advantage of innovative and intelligent automation easily and with minimal downtime.
CyberAgora provides seamless system integrations in various operational domains, including customer experience, logistics, workforce monitoring, and omni-channel operations. Here are some of their AI-powered solutions in logistics and inventory operations:
Customizable Demand Forecasting
Experience as a retailer will tell you when demand for women's outerwear will spike. It may even enable you to predict which particular type of coat your customers will want and when.
Demand can be highly fluid, however. You're also limited in your capacity to detect potential factors and predict the degree of their susceptibility to certain variables. The result is understocking or overstocking, both of which harm your bottom line.
AI can do forecasting thousands of times better. AI models have been trained on billions to trillions of parameters, detecting factors that could boost or cut demand beyond the obvious ones of seasonal trends, promotional activities, the weather, holidays, and market disruptions.
Modern AI forecasting tools also learn beyond their training data, continuously analyzing historical sales figures to detect more associations and predictive variables. For example, they may reveal that an Instagram influencer's recent post wearing your coat led to an unprecedented surge in traffic to your store.
Consequently, it may adjust future demand estimates for that stock-keeping unit (SKU) over the next few weeks. It may also flag similar situations in the future and automatically adjust demand projections.
Customized Inventory Visibility
You're a cosmetics retailer who often experiences losses from understocking popular cosmetics. To solve your problem, you use an AI-driven inventory visibility system.
First, you establish a standing procurement agreement with your suppliers. Next, you give them access to your inventory dashboard. They then set up a threshold alert that, when triggered, serves as their signal to send you a fresh batch of your in-demand products.
Your resellers can also benefit from customized inventory visibility. Based on the real-time data provided by your inventory dashboard, they can see which products to include in their storefronts, improving customer experience.
AI-Powered Product Data Manager
AI tools can automatically extract product information from PDFs or supplier websites. Plug them into your sales channels, and they can add or update the product information on these platforms and even unify the data across multiple channels.
Imagine how much simpler updating product data can be, especially if you run a store with thousands of SKUs and distribute products across multiple channels.
CyberAgora’s AI-powered OSS order management software can track inventory levels in real-time across various locations and warehouses. OSS essentially links your inventory across multiple branches so that, for order fulfillment purposes, your various locations operate like one branch. How does this work, and how does it benefit you?
Suppose you’re a grocery chain, and you have branches on Fayfa Avenue, Corniche Commercial Center, Jeddah Park, and Jeddah Village. Naturally, your branches are stocked differently, with some SKUs available in one branch but not available in another.
Without OSS, each of these branches’ inventories are tracked independenly of each other. Inventories are autonomous and branch-specific. With OSS, the branches are linked and real-time availability is tracked across all connected branches.
If a shopper in the Jeddah Village branch is looking for a particular cut and brand of beef but that branch has run out or has never stocked it, you can still make the sale. Since your branches are linked in OSS and inventory is unified, network- or chain-wide availability is considered when a customer looks for a product.
Using the earlier example, if the beef the customer wants is unavailable in Jeddah Village but available in the Corniche Commercial Center branch, the system can check real-time availability in the shelves in various branches. The sale can, thus, proceed, and you can arrange for the item to be delivered to the customer’s home or delivered to the branch the customer prefers.
This ensures you don’t lose a sale or incur opportunity costs due to understocking. It also leads to a good customer experience, which can induce loyalty and generate future sales.
Understocking leads to lost sales, while overstocking inflates warehouse management costs and may even lead to stock wastage. OSS by CyberAgora can help you prevent these problems with its AI-powered demand planning or forecasting system.
At the core of the solution is real-time alerts. The system will automatically alert you at low inventory levels. The system also includes an automated restocking function that automatically triggers a purchase order when your inventory for a particular SKU drops below your ideal stock levels.
The system also utilizes the predictive powers of AI. You can set your low and high stock level rules yourself, or let the system decide them for you. In the case of the latter, the system decides optimal inventory levels based on your store’s performance and other predictive parameters.
Real-time alerts, automated procurement, and predictive inventory management mean streamlined inventory management and procurement processes that minimize losses caused by understocking and overstocking.
Last-Mile Delivery Optimization
AI can enhance delivery vehicle loading. It can designate parcels for delivery vans based on parcel size, weight, length, and height dimensions. If you do this manually, you will probably consider only obvious parameters like delivery turnaround times and the general delivery area.
AI for last-mile delivery route optimization systems can also plot a delivery van's optimal route and prioritize parcels based on which order of delivery and route would be most efficient. They take into account factors like traffic, weather, and road conditions.
AI systems enhance their training data with actual delivery data, ensuring that delivery routes continue to improve over time.
AI for Logistics and Inventory Operations
Logistics and inventory operations have many moving parts. They require intelligent planning and extensive coordination, and if you do these manually, you will be limited to the factors you know.
AI models have no such limitations. They also continuously learn from fresh information.
Use AI to forecast demand, track inventory, and provide partners with inventory visibility. AI tools can also help you manage and update product data across channels and automate your warehouse processes. AI can also improve last-mile delivery outcomes.
