Omni-channel and Ecommerce Capability Assessment
TPG provides a detailed assessment of the Manufacturer’s potential opportunity though Ecommerce, Click and Collect and other omni-channel retailing models. This analysis provides a review of the manufacturer’s opportunities and gaps in capabilities, clarity of position vs best in class and a quantification of what excellence looks like in terms of dollars sales and profits (size of the prize).
What We Do
TPG’s complete approach and assessment uses a combination of forward thinking analytics that provide a clear understanding of a manufacturer’s current state. TPG will conduct and review:
- Retailer Feedback: TPG will conduct interview calls to pure play and omni-channel retailers to determine critical answers regarding current priorities and challenges, along with expectations, needs and desired capabilities of a leading supplier partner.
- Capability Assessment and Ecom/Omni Benchmarking: Review of current state capabilities across the key functions and retailer requirement areas to win in ecommerce/omni-channel. Then, TPG provides a review of what basic, advanced and leadership capabilities look like across key functions. TPG determines best practices regarding staffing, center of excellence and interaction with digital marketing teams, supply chain and other functions, then blueprints where your company falls on the continuum.
- Ecommerce Channel Demand Model:Using a proprietary model that maximizes the utility of available Ecommerce sales data from syndicated sources, TPG will specify the value of sales generated directly from Ecommerce and Omni-channel purchases for the category in dollars and units, along with manufacturer brands in dollars, units and net profit.
- Clicks to Bricks Sales Valuation: TPG will calculate the impact of “pre-shopping” on a ecommerce website visits and the sales in physical stores for the category and manufacturer brands. We will determine the lift to sales made in brick and mortar stores that can be attributed to ecommerce visits and page views. This value will be forecasted forward using different scenarios.