Food manufacturers of protein, dairy, grains and fruits and vegetables products operate in thin-margin volatile commodity markets. Unlike other manufacturers, their profitability critically depends upon pushing the fast-aging products through retail, food service and export markets in a balanced fashion. Our food solutions help manufacturers take control of their business by providing a sound data-based foundation to their decisions. We specialize in optimizing food chains by looking across silos and using data science to find and leverage profit-making opportunities before they disappear.

 

Product Availability

Representing protein availability accurately requires deep understanding of the complexities and peculiarities of the protein business. Our application takes all that complexity and codifies it. Now product managers and sales reps can use a friendly interface to look up at exactly how much is available to sell by item or item group after the all open orders and internal transfers are taken into account.

Use Cases and Benefits

  • Know how many pieces/heads/lbs of products are available to sell by grade, program and other attributes
  • Look up how many boxes of a SKU can be sold for delivery on a particular date within grade or with downgrading, from assigned plant or all plants
  • Review order fulfillment plan, create optimized make sheet for the first week
  • Schedule and map orders to available supply by day, grade, program
  • Reduce fire sales, balance your supply positions and improve profitability
 

Price Response and Optimization

Prices impact demand and so do many other factors such as competition, seasonal phases, natural product life cycles, promotions, media, substitute product prices, etc. Predicting the impact of price changes on demand requires one to deal with all of the above. Price Response is created to take the mystery out of price response. Simply supply the transaction data and we will tell you if the price changes you've been making have a real impact or customers are simply temporarily switching brands or pantry loading.

While optimizing an individual promotion can be important, the mechanics of it are well understood. Often retailers need to take a wider point of view of profitability to determine what items to promote and when. Austin Labs application specializes in tailoring promotions in situations where an entire category or multiple categories need to be considered together for a meaningful optimization. For example, a vertically integrated retailer should maximize their profits by identifying what SKUs are best for promotions given their supply capabilities. A retailer that wants to promote fresh milk products as a traffic generator should let the data determine if the resulting traffic and higher sales will actually generate more profit. 

Use Cases and Benefits

  • Isolate the impact of non-pricing factors on demand - media, seasonality, substitutes, and competition
  • Quantify both price lifts on promotional events, and average price elasticity on long term list changes
  • Visualize promotional events by time, lift, media and product categories
  • Calculate the best price to achieve your revenue and profit objectives
  • Optimize promotions while taking into account its impact on other products and categories
  • Identify if non-promotional avenues to move product can outperform promotions
  • Maximize profits and not just promotion effectiveness
 

Market Intelligence

Commodity food markets move rapidly in response to signals of changes in supply and demand. Lacking quality intelligence, sales organizations struggle to price with confidence. USDA published prices are either too late or unreliable. Nonetheless sales people find themselves evaluated in how well they did against the market average prevailing on the day of the sale. Our market intelligence solution uses wisdom of the crowd strategy to collect and process thousands of data points from the street and produce accurate barometer of the markets in real time.

USE CASES AND BENEFITS

  • Find the true market price for your and competing products in real-time
  • Minimize the latency and loss in pricing information propagation throughout the company
  • Minimize incidences of customer's cherry-picking products with prices below market
  • Reduce fire sales and improve margins
 

Integrated Demand Planning

For manufacturers or retailers with integrated supply chains, pricing, promotions, purchasing and availability become inextricably connected. Managers can use promotions to shape demand as needed to move excess material or generate revenue or generate traffic for categories. Integrated Demand Planning solution brings together price response modeling, statistical demand forecasts and sales information from the street to help companies put together demand plans that are not just achievable but optimize company's objectives.

USE CASES AND BENEFITS

  • Calculate expected demand by week, location/store that takes into account promotions, seasons and events
  • Identify best week and locations for additional price discounts to move excess material
  • Optimize long-term promotion calendars to drive profitablity
  • Know what's truly available to sell to new customers
  • Drastically reduce unexpected sold-out and fire-sale situations
 

Commodities Dashboard

Food, chemical and other natural commodities are heavily traded in various types of regional and national markets. Manufacturers using or selling these commodities often live or die by how well they understand and track these markets. Commodities Dashboard brings together critical market data in a single place. Sales and product managers can use the dashboard to know exactly where the markets are and which way they are trending.

USE CASES AND BENEFITS

  • Track the trading price and volume data of a suite of commodities in the most followed markets
  • Visualize historical seasonal and event-driven trends in the prices.
  • Quick check historical behavior of prices in conditions that prevail today.
  • Have access to an advanced forecasts that show the near, seasonal and long term trends in the market
  • Compare and contrast competing commodities to identify buy or sell opportunities
  • Improve performance against the market
  • Improve profitability by improving timing and mix of sales