Cropway’s Analytics for Smarter Procurement and Price Optimization
Within the complex agri-food supply chain, individuals responsible for sourcing and procuring agri-commodities play a pivotal role. They serve as the crucial link connecting farming communities with food processing companies globally, ensuring the delivery of premium-quality raw materials to manufacturing units for the production of top-tier food products. Nevertheless, the intricacies of this supply chain present a host of challenges. In this article, we’ll delve into five significant supply chain obstacles and explore how Cropway’s platform is reshaping the landscape for agribusinesses.
1. Reducing Post-Harvest Losses
One of the foremost challenges in the agri-food supply chain is minimizing post-harvest losses, particularly in the early stages. Cropway leverages a combination of remote sensing, artificial intelligence, machine learning, and cloud computing to pinpoint crops of interest. By evaluating factors such as crop health, shelf life, best route, and anticipated yield, organizations can make informed decisions regarding sourcing, thus curtailing losses.
2. Ensuring Quality Adherence
Preserving quality adherence is paramount, particularly for exports and food safety. We deliver access to top-notch sourcing, grading, packaging, and labeling capabilities to retailers and consumer brands. Our solutions aid in the continual monitoring and preservation of quality standards throughout the supply chain in a digital manner, guaranteeing that products meet global standards and regulatory requirements.
3. Accelerating the Movement of Produce & Price Predictions
The expeditious transportation of produce along the supply chain is imperative to minimize spoilage and maintain freshness. Our technology-driven tracking and logistics solutions optimize transport routes and schedules, using analytics to facilitate the prompt delivery of goods to processing facilities.
As we realize technology is not a single solution to this multifaceted problem, our prediction algorithm takes into consideration multiple micro and macro-level inputs specific to the type of crop. The data collected are often farmer details, artifact costs, satellite pictures, coordinates of farms, etc. And with the appliance of IoT devices like sensors, data such as temperature, moisture, soil fertility, rainfall, etc. All this is analysed to optimize the profit margin.
Additionally, Cropway’s Smart procurement facilitates the development of an operational framework that encourages multidisciplinary teams to prioritize user outcomes across the entire portfolio rather than working in isolation. By streamlining processes and leveraging automation for standardization, your workforce is liberated to engage in more valuable tasks. Powered by a profitable crop value prediction system such as ours can provide farmers, traders, or agri stakeholders with an opportunity to gain profit in a much bigger context. Understanding and anticipating agricultural expenses using technology can greatly aid in making data-driven decisions and enhancing productivity.
4. Establishing Traceability
Establishing traceability for agri-food products is growing in significance. Consumers are increasingly interested in the provenance of their food and its journey throughout the supply chain. Cropway provides the tools necessary to establish traceability, thereby enhancing transparency and bolstering trust in the brand. Read more about how this is done here.
5. Advocating Sustainable Sourcing
Sustainability is an ever-mounting concern. Agribusinesses are deploying technology to promote sustainable sourcing practices, thus diminishing their environmental footprint and bolstering support for local communities. Cropway, an industry leader, maintains close collaborations with food processors, comprehending their unique demand patterns. Unlike retailers, whose demands are characterized by daily or weekly fluctuations, food processors typically require more substantial quantities over an extended period, often spanning 3-6 months. Cropway’s analytical approach ensures that farmers can anticipate demand and meticulously plan their cultivation to align with these extended timelines.
Moreover, the value augmentation that results from food processing is worth noting. For instance, crops like sweet corn and baby corn undergo various processing stages to yield diverse products, reducing price fluctuations and granting farmers a consistent income. Cropway’s innovative crop modeling methodology is fine-tuned to accommodate local complexities such as limited plot sizes, changing climate, water availability, extensive inter-cropping, and variable cloud cover. Our deep-learning engine, coupled with user-friendly interfaces & analytics, supplies insights at a fraction of the traditional expense and effort. This empowers key stakeholders to make well-informed decisions, effectively manage risks, and optimize their business operations.
In a realm where the efficiency of supply chains and sustainable practices reign supreme, Cropway’s analytics are poised to transform the way agribusinesses function, ushering in an era of enhanced procurement and price optimization, ensuring a brighter future for all involved.
