At krunchbox we aggregate and clean POS data for retail suppliers, then transform it into a web platform that provides insights to help make better decisions that drive sales and optimize inventory.
How it works
Schedule a demo to try us
out with real numbers that
can make a real impact.
Retail & Data expertise
With more than 15 years of experience handling and cleansing POS data, we understand the challenges with the perspective of deep domain expertise.
We take care of the difficult task of collating and cleaning your data, week in, week out, so your team can focus on core business activities.
ROI & Growth
krunchbox identifies the insights and appropriate actions that can’t be found on a spreadsheet, allowing you to deliver data backed suggestions to retail partners.
Long-term trust & Support
Our focus on customer support ensures every user has access to ongoing support and training to succeed.
Who is krunchbox for?
If you’re an analyst, the chances are you spend way too much time collating and harmonizing data, which distracts from the time you could be spending analyzing the data. krunchbox will collate and cleanse data for you so that you can spend more time doing what you’re best at.
If you’re in sales, you care about monitoring sales performance, trend analysis, online vs brick and mortar, out of stocks, promo activity, and so much more. krunchbox helps you focus on the exceptions and best opportunities, making you the most informed person in the room, and ensuring that retail buyers listen when you speak.
If you’re in Supply Chain, you’re likely kept awake at night by forecasts, purchase orders, warehouse inventory, in stocks, slow moving stock and much more. krunchbox gives you transparency up and down the supply chain right down to the SKU on the shelf in the store So you can have a better night’s sleep!
With slowing sales translating into bloated inventories, there is a ripple effect moving up the supply chain, with the breaks being applied to replenishment plans.
So, what to do when your Retail Buyer says, ‘I’m sorry, but circumstances have changed. I no longer have the budget to purchase what I had planned. I’m cutting back your OTB’!
If you are a supplier to a major national retail chain, you will have been involved in countless range reviews over the years, and they are usually accompanied by a mixture of excitement and dread. Get it right, and you may be rewarded with approval for new ranges, more facings, better locations and the prospect of higher sales orders in the coming season. Get it wrong, and you could be staring at markdown contributions, deleted ranges, reduced facings and significantly lower future orders. Get it really wrong and you could be faced with your ranges being replaced by a competitor’s products.
In the age of digital disruption, the retail industry is undergoing a profound data-focused transformation and those brands that fail to adapt risk being left in the dust. Amidst this dynamic landscape, a groundbreaking retail data analytics program has emerged, reshaping how consumer brands perceive and interact with their point-of-sale data. Four strategic pillars form the foundation of this revolution, propelling brands into uncharted territories of success.
Consumer brands face an uphill battle when it comes to acquiring point-of-sale data from retailer portals, API’s, or syndicated feeds. The account management team lacks the engineering acumen required to create their own data pipelines, let alone have access to proper analytics tools.
According to the US Department of Commerce foot traffic data, monthly retail visits were lower in Q1 2023 than in Q1 2022. That is not surprising in the least given the rise in interest rates and general cost of living pressures. Yet recent personal experience of visiting shopping centres in both Canada and the US would appear to indicate that crowds and volume of foot traffic are healthy. The ‘frustration in trying to find a parking spot at the weekend’ index shows no sign of abating!