Retail Solutions From CapB
CapB combines proven consulting strategy, retail software and hardware technology with services to help retailers of all sizes meet their business goals by designing and implementing cost-effective, easy-to-manage retail IT solutions. CapB’s solutions will help retailers in:
| Optimizing Business Processes | Improving Supply Chain | Effective Promotional Pricing | Cost Effective Order Fulfillment | Differentiating from competitors | Reducing Application Development and Support cost. | Realizing operational Cost Savings |.
Our retail offerings Include:
Technology Strategy & Implementation from |Retail IT Strategy | Multi-channel/Digital Retail Design & Implementation| Business Intelligence & Data Analytics| ERP-Enabled Transformation| POS & Store Systems |
Retail Operations & Performance Improvement: | Merchandise, Assortment, & Inventory Optimization| Store & Customer Experience Optimization | Product Flow & Supply Chain Optimization| Product Development, Sourcing & Supplier Management| Finance Transformation| Enterprise Cost Management| Enterprise Sustainability |.
CapB’s Big Data and Analytical solutions can help retailers collect and analyze customer information from a wider range of sources including POS systems, online transactions, social media, loyalty programs, call center records and more. CapB solutions will help retailers understand customer preferences, accurately identify shopping patterns and generate more precise customer segmentation. Retailers can then use new insights to deliver highly targeted, location-based promotions, in real time. Build smarter merchandising and supply networks.
CapB’s solutions on competitive pricing and demand trends help retailers initiate sales and promotions that help avoid losing business. Though our Big Data and Analytics solutions retailers build smarter supply chains and optimize merchandising across a multi-channel retail operation:
- Predict optimal pricing and maintain a price leadership position by analyzing price and demand elasticity
- Select the right merchandise for each channel and fine-tune local assortment planning by drawing on insights from social media, market reports, internal sales data and customer buying patterns
- Optimize inventory across multiple channels by using leading indicators such as customer sentiment and promotional buzz to anticipate future demand|.
In a retail environment, CapB’s predictive models exploit patterns found in historical and transactional data to identify risks and opportunities. Models capture relationships among many consumer behavior factors to allow assessment of risk or potential associated with a particular set of conditions, guiding decision making for shopper-specific retail transactions. For example avoiding out of stock conditions for customer satisfaction. This is a frequent and disappointing experience for shoppers: Sometimes in vertically organized chains, the procurement of articles narrows to a single batch. This poses a risk to chains, making it more important than ever before to precisely anticipate consumer demand for a particular item. The ability to correctly predict demand has become a key factor for profitable business. Conventional methods of forecasting demand for online and mail-order catalog items are proving inadequate in an increasingly competitive environment. Retailers should weigh business risk of both overproduction and shortage. Overproduction would impact profitability and lock up too much capital. Shortage would annoy customers. To meet customer demand CapB can help retailers evaluating a series of solutions for generating stable prediction of sales volumes, by applying multivariate analysis Bayesian statistics and predictive modeling tools. CapB can help retailers establish an entirely new forecasting engine ( from proof of concept using historical data from “N” x previous seasons, and continuously inputs to the solution with transaction records per week from the current season until fine-tuned) which can deliver convincing results to satisfy customer demand more accurately. At the same time, CapB’s predictive approach lowers stock holding, resulting in improved profitability and availability of funds.