Case: PIM in Retail
Industry: Retail
Company: Jewelry and branded clothing
Process: Product information management
Before: Two employees of a retail company that sells jewelry and branded clothing spent more than 40 minutes each day updating product information (10,000+ SKUs), including prices, on the marketplaces. The marketing department often updated the assortment of items in the CRM based on new arrivals and sales analytics. During busy selling seasons, employees often added new products with a delay of up to 1 week, leading to mistakes in pricing.
Now: An RPA bot automatically checks for new products in the CRM and copies their information to the marketplace.
Case: Competitor watch and pricing
Industry: E-commerce
Company: Fabrics company
Process: Competitor price monitoring, pricing and price information management
Before: The manager of an internet company selling fabrics spent more than 1 hour every day monitoring the prices of competitors on marketplaces. If the prices of competitors were lower, the manager would change the product prices (within acceptable limits) on the marketplace, the company website, and in the CRM. However, due to the large range of products, the manager sometimes struggled to update prices in a timely manner and may have missed some items.
Now: The RPA Bot continuously monitors the prices of competitors and updates the prices on marketplaces, the company website, and in the CRM system. This ensures that the prices of the company's products are competitive and up to date, without the need for manual monitoring and updating by the manager.
Case: Invoice reconciliation
Industry: FMCG
Company: Grocery store
Process: Invoice reconciliation
Before: Every day, three accountants at a grocery store chain spent up to 2 hours manually processing electronic invoices and reconciling them with the data in the ERP system. They also had to correct any discrepancies in the data, such as supplier details and VAT amounts.
Now: The RPA bot automatically reconciles e-invoices and makes any necessary adjustments to the ERP system from 9:00 AM to 6:00 PM. This significantly reduces the workload for the accountants and allows them to focus on other tasks.
Case: HRM processes
Industry: Professional services
Company: IT Shared service center
Process: HRM processes
Before: As a result of planned merger company's headcount should have been increased from 150 to 250 employees. In order to prevent an HR-team increase, the company was looking for RPA that would meet requirements in regard to easiness to use as well as pricing model.
Now: Once RPA was implemented the company managed to improve HR team efficiency by reducing operations time on average to 20 minutes. Hiring new HR managers was no longer required.
The following processes were automated using Python RPA:
Case: wire transfer in a bank
Industry: Financial services
Company: top universal bank
Process: Wire transfer of foreign currency
Before: 4 employees verified and processed wire transfers. They had to compete 16 checks and to cross-check information in three information systems. This process required up to 6 hours daily.
Now: By the implementation of Python RPA the robot completes checks and makes cross check. In case of a mistake a payment is sent to the manual processing queue.